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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. 18866
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    Explanations

    the word "everybody"

    oai_token-act-pair · gpt-3.5-turbo

    references to collective experience or societal observations

    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
    aic
    -0.86
    ais
    -0.75
    eda
    -0.74
    rd
    -0.72
    extreme
    -0.70
    yi
    -0.69
    efficient
    -0.68
    scient
    -0.68
    ean
    -0.68
    Cons
    -0.68
    POSITIVE LOGITS
    selves
    0.89
     pus
    0.77
     mathemat
    0.76
    £ı
    0.75
     everybody
    0.72
     answ
    0.72
     wanna
    0.72
    bags
    0.71
     else
    0.70
    glers
    0.70
    Activations Density 0.016%

    No Known Activations