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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. 11-RES-JB
    11. 12002
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    INDEX
    Explanations

    phrases indicating anticipation or prediction

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating expectations or assumptions about outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bard
    -0.67
    vertisement
    -0.66
     moot
    -0.64
    ackets
    -0.64
    toggle
    -0.60
    tein
    -0.59
    oche
    -0.57
    abase
    -0.55
    worth
    -0.55
    cht
    -0.55
    POSITIVE LOGITS
     from
    0.89
     FROM
    0.74
     given
    0.73
     Pascal
    0.73
    oric
    0.71
     of
    0.67
    from
    0.65
    From
    0.65
     greeted
    0.63
     greets
    0.60
    Activations Density 0.102%

    No Known Activations