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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. 3-RES-JB
    11. 3354
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    INDEX
    Explanations

    mentions of film or television sets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of filming locations or film sets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.75
    eous
    -0.71
    ä¼
    -0.64
     Biblical
    -0.62
    ecause
    -0.62
    minster
    -0.62
    女
    -0.61
    æĢ
    -0.60
    ibly
    -0.60
    ishing
    -0.59
    POSITIVE LOGITS
     showc
    0.94
    ters
    0.90
    tle
    0.86
    list
    0.85
    rac
    0.81
     forth
    0.80
    tering
    0.77
    opsis
    0.76
    itud
    0.76
    itia
    0.75
    Activations Density 0.040%

    No Known Activations