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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the number "three" repeated in texts

    oai_token-act-pair · gpt-3.5-turbo

    the number "three" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isky
    -0.64
    agate
    -0.61
    IAS
    -0.60
    spread
    -0.59
    utable
    -0.59
    buffer
    -0.58
    UGE
    -0.57
    gain
    -0.57
    andr
    -0.55
     Congratulations
    -0.55
    POSITIVE LOGITS
    teenth
    1.20
    teen
    1.16
    rd
    1.09
     hundred
    1.01
    peat
    0.98
     quarters
    0.96
     consecutive
    0.95
    uously
    0.95
     weeks
    0.94
    aciously
    0.91
    Activations Density 0.099%

    No Known Activations