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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. 3187
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    INDEX
    Explanations

    lists of instructions or steps

    oai_token-act-pair · gpt-3.5-turbo

    instructions and procedural language related to guidelines and steps

    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
    veland
    -0.78
    idency
    -0.64
    universal
    -0.58
    biased
    -0.57
     Clancy
    -0.57
    idence
    -0.56
    arty
    -0.55
    aned
    -0.55
    incial
    -0.54
     Mehran
    -0.53
    POSITIVE LOGITS
     above
    2.19
     below
    1.87
    above
    1.81
    below
    1.59
     foregoing
    1.51
     Above
    1.46
     BELOW
    1.37
     mentioned
    1.36
     listed
    1.36
     Below
    1.28
    Activations Density 0.895%

    No Known Activations