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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. 3500
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    Explanations

    words related to intense or impactful actions or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "nail" and related phrases

    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
    inventoryQuantity
    -0.86
    ais
    -0.84
    ioch
    -0.81
    REDACTED
    -0.79
    doi
    -0.77
    =-=-=-=-=-=-=-=-
    -0.73
    ivals
    -0.72
    entric
    -0.72
    uses
    -0.71
    overe
    -0.71
    POSITIVE LOGITS
     nail
    1.17
     polish
    1.14
     nails
    1.11
     salon
    1.03
     biting
    0.88
     fungus
    0.87
     hammered
    0.82
     coffin
    0.77
    picking
    0.76
     groom
    0.75
    Activations Density 0.030%

    No Known Activations