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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. 0-RES-JB
    11. 9665
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    INDEX
    Explanations

    predominant or predetermined entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to predictions and their implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingham
    -0.75
    iggle
    -0.69
     Violet
    -0.69
     Corpse
    -0.68
    GY
    -0.66
    ress
    -0.66
     McGee
    -0.64
     Scroll
    -0.64
    hift
    -0.64
    rub
    -0.64
    POSITIVE LOGITS
     pred
    3.90
    pred
    2.16
     Pred
    1.86
    Pred
    1.79
     predicate
    1.55
     pree
    1.20
     preceded
    1.17
     predis
    1.10
     prey
    1.09
     Predators
    1.08
    Activations Density 0.012%

    No Known Activations