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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. 11-RES-JB
    11. 93
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    INDEX
    Explanations

    phrases related to performance evaluation and completion

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to comfort levels and personal assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perate
    -0.57
     matured
    -0.56
    iances
    -0.54
    stice
    -0.54
    owship
    -0.54
     continual
    -0.54
     comr
    -0.54
    icans
    -0.53
    yrs
    -0.52
    iance
    -0.52
    POSITIVE LOGITS
    âĢ
    1.15
    ¶
    0.81
     âĢ
    0.80
    —"
    0.80
    .ãĢį
    0.79
    ÂŃ
    0.77
    "—
    0.75
     ÂŃ
    0.75
    .''
    0.72
    âĢł
    0.72
    Activations Density 1.168%

    No Known Activations