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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. 9-RES-JB
    11. 11439
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.63
    onics
    -0.62
     exhaustion
    -0.58
    REM
    -0.58
    izophren
    -0.56
     formula
    -0.55
    Ĺ
    -0.54
    DK
    -0.52
    adra
    -0.52
     Balt
    -0.52
    POSITIVE LOGITS
    /#
    1.21
    /_
    1.13
    /+
    0.91
    /
    0.82
    /?
    0.81
    pose
    0.79
    jong
    0.79
    hovah
    0.78
    \/
    0.76
    /
    0.76
    Activations Density 0.023%

    No Known Activations