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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. 3728
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    Explanations

    phrases indicating choices or decisions made by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "choose" and its context in decision-making scenarios

    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
    brance
    -0.75
    ights
    -0.63
    è¦ļéĨĴ
    -0.62
    ija
    -0.62
    gren
    -0.62
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.61
    brush
    -0.60
    der
    -0.60
    dfx
    -0.59
    Scroll
    -0.59
    POSITIVE LOGITS
     wisely
    1.05
     to
    0.94
     not
    0.82
     anonymity
    0.70
     sides
    0.70
     instead
    0.69
     NOT
    0.68
     between
    0.60
    oses
    0.60
     whichever
    0.60
    Activations Density 0.040%

    No Known Activations