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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. 13149
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    oai_token-act-pair · gpt-3.5-turbo

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    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
     Mehran
    -0.64
     grocer
    -0.63
     bearer
    -0.60
    oyd
    -0.60
     anten
    -0.59
     Gw
    -0.58
     Slov
    -0.58
    arton
    -0.57
     flip
    -0.56
     captcha
    -0.55
    POSITIVE LOGITS
    ment
    2.55
    ments
    2.53
    mental
    2.02
    MENT
    1.77
    MENTS
    1.76
    mentation
    1.68
    mented
    1.64
    ement
    1.43
    ements
    1.29
    EMENT
    1.22
    Activations Density 0.164%

    No Known Activations