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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. 8-RES-JB
    11. 9900
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    Explanations

    references to clothing items or apparel in a specific style

    oai_token-act-pair · gpt-3.5-turbo

    brands and specific product labels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.89
    £ı
    -0.74
    volent
    -0.72
     summary
    -0.69
    lihood
    -0.69
    İĭ
    -0.68
     dispatch
    -0.67
    lication
    -0.65
    ensing
    -0.64
    etting
    -0.63
    POSITIVE LOGITS
    ollywood
    0.98
    akespe
    0.97
    ussian
    0.89
    ussie
    0.87
    opoly
    0.84
    zac
    0.83
    OOOO
    0.83
    #$
    0.81
     Bucket
    0.80
     Klux
    0.77
    Activations Density 0.386%

    No Known Activations