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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. 5
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    Explanations

    words related to legal or government entities and procedures

    oai_token-act-pair · gpt-3.5-turbo

    words related to forms of organization or classification

    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
    hov
    -0.80
    ortium
    -0.76
    FFER
    -0.76
    yi
    -0.75
    éĹĺ
    -0.74
    CRIP
    -0.72
    olicy
    -0.71
    lio
    -0.70
    pload
    -0.70
    yre
    -0.69
    POSITIVE LOGITS
    ized
    1.03
    izing
    0.99
    ization
    0.97
    istic
    0.92
    ogical
    0.92
    axy
    0.90
    uminum
    0.86
    ism
    0.86
    ize
    0.85
    izes
    0.84
    Activations Density 0.026%

    No Known Activations