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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. 3-RES-JB
    11. 15696
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    INDEX
    Explanations

    mentions of university names and coursework

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of "AS" alongside numerical values indicating versioning or specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ£
    -0.95
    ãĤª
    -0.87
    ãĥķãĤ©
    -0.85
    sburgh
    -0.82
    д
    -0.72
    ãĤ¹ãĥĪ
    -0.72
    Gaza
    -0.71
    ãĤ¸
    -0.71
    odore
    -0.70
    idate
    -0.70
    POSITIVE LOGITS
    BC
    1.05
    RS
    0.84
    X
    0.79
    FP
    0.77
    emic
    0.77
    OTHER
    0.76
    HT
    0.76
    IZ
    0.75
    IA
    0.75
     interven
    0.75
    Activations Density 0.021%

    No Known Activations