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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. 9-RES-JB
    11. 16256
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    Explanations

    phrases related to confrontation or conflict

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to being led or coerced

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.81
    Registered
    -0.71
    interrupted
    -0.67
    Narr
    -0.60
     infused
    -0.60
    til
    -0.59
    WARN
    -0.59
    scape
    -0.59
    Built
    -0.58
     inscribed
    -0.58
    POSITIVE LOGITS
    by
    0.84
     by
    0.82
    utsche
    0.70
     BY
    0.64
    byter
    0.64
    elsen
    0.62
     Pengu
    0.61
     finer
    0.61
    By
    0.59
    urous
    0.58
    Activations Density 0.457%

    No Known Activations