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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. 7-RES-JB
    11. 7449
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    INDEX
    Explanations

    mentions of numerical rankings

    oai_token-act-pair · gpt-3.5-turbo

    references to numbers and rankings in a specific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assetsadobe
    -0.82
    govtrack
    -0.76
    ahime
    -0.66
    heit
    -0.65
    Activity
    -0.64
    someone
    -0.64
     somewhere
    -0.62
     Patreon
    -0.62
    lance
    -0.62
    éĹ
    -0.61
    POSITIVE LOGITS
    ses
    1.13
     aforementioned
    1.05
     toughest
    0.94
     brightest
    0.93
     highest
    0.93
     finest
    0.93
     heaviest
    0.92
     hardest
    0.92
     smallest
    0.92
     largest
    0.91
    Activations Density 0.092%

    No Known Activations