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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. 2-RES-JB
    11. 8358
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    Explanations

    references to specific companies or brands

    oai_token-act-pair · gpt-3.5-turbo

    references to film production companies and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gaard
    -0.75
    ilies
    -0.68
    hift
    -0.65
    isms
    -0.64
    ooth
    -0.64
     bom
    -0.63
    iliary
    -0.63
    cedented
    -0.63
    ORPG
    -0.62
     subt
    -0.62
    POSITIVE LOGITS
     Paramount
    0.89
     Pictures
    0.78
    nit
    0.77
    atech
    0.76
    Fall
    0.76
    RET
    0.73
    Creat
    0.70
    LV
    0.69
    REC
    0.68
    ulent
    0.68
    Activations Density 0.030%

    No Known Activations