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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. 756
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of significant statements or claims within discussions

    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
    ÂŃ
    -1.07
     ÂŃ
    -1.02
     âĢ¦
    -0.98
    –
    -0.97
    âĢ³
    -0.96
    âĢIJ
    -0.94
    .–
    -0.92
     âĢ¦"
    -0.89
    âĢ²
    -0.86
    âĢ¦âĢ¦âĢ¦âĢ¦
    -0.83
    POSITIVE LOGITS
     -
    1.42
     �
    1.15
    "...
    1.07
     ``
    1.00
    ``
    0.91
     ----------------------------------------------------------------
    0.91
    �
    0.85
     ....
    0.84
    )...
    0.80
     ''
    0.80
    Activations Density 0.201%

    No Known Activations