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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. 9110
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    Explanations

    words related to dependency or reliance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to contingent situations or conditions

    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
    ulton
    -0.85
    nect
    -0.72
    ythm
    -0.71
    ICO
    -0.70
    ICH
    -0.69
    imar
    -0.68
    esity
    -0.67
    Cola
    -0.65
    ousing
    -0.64
    yth
    -0.64
    POSITIVE LOGITS
     conting
    1.07
    encies
    0.99
    enance
    0.78
    ency
    0.77
     liabilities
    0.76
     redund
    0.74
    etheless
    0.73
     contingent
    0.72
    duty
    0.69
    ilitary
    0.68
    Activations Density 0.018%

    No Known Activations