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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. 19010
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    Explanations

    sentences containing reported speech, usually starting with a verb like 'said' or 'told'

    oai_token-act-pair · gpt-3.5-turbo

    statements of opinion or belief

    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
     respectively
    -0.67
    AFP
    -0.62
     purportedly
    -0.59
    +.
    -0.58
    Aug
    -0.57
    Ohio
    -0.57
    inducing
    -0.57
    described
    -0.55
    Footnote
    -0.55
    MAP
    -0.54
    POSITIVE LOGITS
     fuckin
    0.82
     kidding
    0.78
     fucking
    0.76
    %"
    0.76
     gonna
    0.73
    .")
    0.72
     âĢ¦"
    0.72
    !"
    0.67
    yss
    0.67
    oooooooooooooooo
    0.64
    Activations Density 2.945%

    No Known Activations