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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. 0-RES-JB
    11. 19168
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    INDEX
    Explanations

    references to significant, important, or large-scale events or entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "major" to indicate significance or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fulness
    -0.78
    gets
    -0.74
    itance
    -0.72
    lessness
    -0.72
    é¾įåĸļ士
    -0.69
    esses
    -0.69
    coins
    -0.66
    esse
    -0.64
    \\\\
    -0.64
     Procedure
    -0.63
    POSITIVE LOGITS
     major
    3.28
    major
    2.51
    Major
    2.02
     Major
    1.94
     minor
    1.89
     majors
    1.84
     significant
    1.68
     big
    1.44
     notable
    1.43
    Minor
    1.41
    Activations Density 0.019%

    No Known Activations