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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. 7082
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    oai_token-act-pair · gpt-3.5-turbo
    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
     Lack
    -0.66
    sheet
    -0.65
     scr
    -0.64
    str
    -0.64
     femin
    -0.63
    BRE
    -0.63
     Digest
    -0.63
    few
    -0.61
     Karl
    -0.61
    stra
    -0.61
    POSITIVE LOGITS
    awa
    1.26
    ahime
    1.25
    oki
    1.19
    oshi
    1.18
    atsu
    1.17
    uku
    1.13
    ushi
    1.10
    uki
    1.10
    umi
    1.09
    ashi
    1.08
    Activations Density 0.103%

    No Known Activations