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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 14577
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    Explanations

    information related to legal and criminal activities such as seizing luxury cars, hacking into computers, leaking emails, and shutting down nuclear plants

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various kinds of assets and resources, particularly in the context of legal or financial matters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erenn
    -0.67
    ç·
    -0.66
     gracious
    -0.62
    Leader
    -0.60
    Quote
    -0.60
    RIC
    -0.60
    ETHOD
    -0.59
    entary
    -0.59
    >:
    -0.58
    NOR
    -0.58
    POSITIVE LOGITS
     belonging
    0.97
    hips
    0.81
     totaling
    0.80
     seized
    0.79
    chool
    0.78
     relating
    0.78
     leaked
    0.76
     containing
    0.76
    hare
    0.76
    pread
    0.76
    Activations Density 0.460%

    No Known Activations