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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. 10-RES-JB
    11. 16356
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    Explanations

    statements or prompts asking for input or feedback from the audience

    oai_token-act-pair · gpt-3.5-turbo

    requests for audience engagement and feedback in the comments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     consum
    -0.68
    olid
    -0.62
     Canaveral
    -0.62
     cous
    -0.60
    arov
    -0.55
     idols
    -0.55
     contraceptives
    -0.55
     funer
    -0.54
     reluct
    -0.53
     contraception
    -0.53
    POSITIVE LOGITS
     below
    1.05
     section
    0.90
    below
    0.88
     ðŁĻĤ
    0.82
    !]
    0.82
    !
    0.80
    !:
    0.79
     Below
    0.79
    !.
    0.79
     ;)
    0.78
    Activations Density 0.048%

    No Known Activations