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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. 22732
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    Explanations

    mentions of specific Twitter handles and acronyms

    oai_token-act-pair · gpt-3.5-turbo

    instances of proper nouns and names

    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
     Ply
    -0.79
     WiFi
    -0.76
     LIN
    -0.71
     Tenth
    -0.68
     Polk
    -0.66
     stre
    -0.66
     PO
    -0.65
    WF
    -0.65
     VID
    -0.64
     livest
    -0.64
    POSITIVE LOGITS
    amate
    1.19
    af
    1.19
    ab
    1.19
    as
    1.14
    av
    1.14
    asc
    1.13
    at
    1.13
    aq
    1.13
    aser
    1.12
    aj
    1.12
    Activations Density 0.298%

    No Known Activations