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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. 24147
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    INDEX
    Explanations

    phrases related to leading or direction

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or consequences

    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
    Mach
    -0.68
    ager
    -0.62
    issan
    -0.62
    ctic
    -0.60
    agen
    -0.59
    pton
    -0.59
    cube
    -0.59
     Tar
    -0.59
    afort
    -0.59
    rehensive
    -0.57
    POSITIVE LOGITS
    better
    0.88
     Leading
    0.80
    ĸļ
    0.78
    lead
    0.77
    Īè
    0.73
     leads
    0.71
    ļéĨĴ
    0.68
    wcs
    0.68
    :{
    0.67
    leading
    0.66
    Activations Density 0.011%

    No Known Activations