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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. 19995
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    Explanations

    verbs indicating events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "happen" and its variations related to events or actions

    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
    arium
    -0.67
     assorted
    -0.64
    itton
    -0.62
    assi
    -0.60
     elig
    -0.60
     NOT
    -0.56
    igl
    -0.56
    oplan
    -0.56
     Emin
    -0.55
    isin
    -0.54
    POSITIVE LOGITS
     anymore
    1.52
     nor
    1.31
     until
    1.29
    yet
    1.26
     till
    1.19
     unless
    1.16
    until
    1.15
    til
    1.10
    unless
    1.08
     anytime
    1.01
    Activations Density 0.360%

    No Known Activations