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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. 7-RES-JB
    11. 14055
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emale
    -0.74
    ritical
    -0.73
    ère
    -0.73
    ilitarian
    -0.72
     Parables
    -0.71
    cision
    -0.69
    ãĥĩãĤ£
    -0.69
    schild
    -0.69
    eka
    -0.68
    colm
    -0.68
    POSITIVE LOGITS
     around
    0.87
    between
    0.78
     underneath
    0.74
     across
    0.73
     concurrently
    0.72
     beneath
    0.72
     forth
    0.72
     throughout
    0.71
    edIn
    0.69
    NPR
    0.69
    Activations Density 0.163%

    No Known Activations