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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. 2-RES-JB
    11. 7854
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    Explanations

    words related to shortcomings, negligence, and porous structures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to lack of regulation or oversight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    waves
    -0.89
    hung
    -0.82
    cry
    -0.78
    flo
    -0.77
    dress
    -0.76
    flies
    -0.74
    saw
    -0.72
    adish
    -0.71
    ORN
    -0.69
    rower
    -0.68
    POSITIVE LOGITS
     lax
    1.10
    atives
    0.79
     occas
    0.77
     inhib
    0.75
     oversight
    0.75
     reluct
    0.74
    iple
    0.74
    ignt
    0.73
     opacity
    0.73
    Þ
    0.72
    Activations Density 0.024%

    No Known Activations