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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. 14073
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    Explanations

    proper nouns and names, possibly related to locations and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to various entities, including people, organizations, and locations

    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
    awed
    -0.81
    apa
    -0.78
    ãĥĵ
    -0.74
     trump
    -0.70
     Apex
    -0.68
     meas
    -0.67
    aughty
    -0.67
     pav
    -0.66
     captcha
    -0.65
     epigen
    -0.65
    POSITIVE LOGITS
    lis
    1.28
    LS
    1.24
    L
    1.24
    LI
    1.21
    lé
    1.19
    l
    1.18
    LIN
    1.18
    ls
    1.16
    lt
    1.13
    LE
    1.13
    Activations Density 0.423%

    No Known Activations