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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. 1-RES-JB
    11. 16846
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    Explanations

    quantitative mentions of occurrences or instances

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "had" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hammer
    -0.67
    ugu
    -0.60
    omics
    -0.58
    lig
    -0.57
    ocol
    -0.55
    inance
    -0.54
     defense
    -0.54
    —-
    -0.54
    reciation
    -0.53
     taxp
    -0.53
    POSITIVE LOGITS
     been
    1.05
     undergone
    0.99
    iths
    0.93
    hers
    0.91
    ĸļ
    0.90
     gone
    0.89
     begun
    0.89
     gotten
    0.83
    raltar
    0.81
     never
    0.76
    Activations Density 0.154%

    No Known Activations