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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. 6-RES-JB
    11. 13695
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    INDEX
    Explanations

    mentions of specific years in fashion or cultural movements

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific decade or cultural trends associated with the '80s

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lanka
    -0.66
     slab
    -0.65
     enterprises
    -0.64
     Stras
    -0.64
     Dresden
    -0.63
     objective
    -0.63
     range
    -0.62
     limb
    -0.61
     Despair
    -0.61
     Frey
    -0.61
    POSITIVE LOGITS
    ï¸ı
    0.92
    sign
    0.85
    along
    0.82
    amo
    0.82
    Balt
    0.80
    nom
    0.80
    cffffcc
    0.80
    natureconservancy
    0.79
    ardless
    0.79
    card
    0.77
    Activations Density 0.103%

    No Known Activations