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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. 4-RES-JB
    11. 15649
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    Explanations

    phrases indicating something is too much of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate limitations or boundaries

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

    No Comments

    Negative Logits
    uay
    -0.81
    ATIONAL
    -0.80
    ARA
    -0.78
    soDeliveryDate
    -0.77
    escal
    -0.72
    kind
    -0.72
    ãĤ¼
    -0.71
    ance
    -0.67
    aldi
    -0.67
    ccording
    -0.66
    POSITIVE LOGITS
     accommodate
    0.85
     handle
    0.82
     adequately
    0.78
    handle
    0.75
     boast
    0.71
     tolerate
    0.70
     satisfy
    0.69
     reliably
    0.69
     compensate
    0.68
     fit
    0.68
    Activations Density 0.082%

    No Known Activations