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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. 10-RES-JB
    11. 5247
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    INDEX
    Explanations

    individuals or specific entities mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or groups in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .''.
    -0.85
    .''
    -0.78
    .
    -0.69
    .,"
    -0.66
     âĵĺ
    -0.64
    ."
    -0.64
    ocations
    -0.64
    .).
    -0.59
    .'
    -0.59
    .'"
    -0.59
    POSITIVE LOGITS
     alot
    0.83
     AFTER
    0.81
     didnt
    0.77
    âķIJ
    0.75
     VERY
    0.75
     HUGE
    0.75
     MUCH
    0.74
     unfocusedRange
    0.74
    ALLY
    0.71
    Secondly
    0.70
    Activations Density 1.207%

    No Known Activations