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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. 23370
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    Explanations

    propper nouns and specific phrases related to various titles and names

    oai_token-act-pair · gpt-3.5-turbo

    the character 'ľ' in various contexts

    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
     condem
    -0.97
     disadvant
    -0.81
     appropri
    -0.78
     simultane
    -0.76
     conduc
    -0.75
     reflex
    -0.74
     lapse
    -0.73
     apes
    -0.72
     assum
    -0.72
    enegger
    -0.72
    POSITIVE LOGITS
    ï¸ı
    1.08
    cffffcc
    1.00
    ICE
    0.98
    lean
    0.89
    Sing
    0.87
    VAL
    0.86
    XY
    0.86
    ternity
    0.86
    Operation
    0.86
    active
    0.85
    Activations Density 0.208%

    No Known Activations