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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. 4409
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    oai_token-act-pair · gpt-3.5-turbo
    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
    arious
    -0.84
    cedented
    -0.71
    ieth
    -0.66
    Today
    -0.65
    etheless
    -0.64
    aber
    -0.64
    Too
    -0.64
    houses
    -0.63
    hearted
    -0.63
    mosp
    -0.63
    POSITIVE LOGITS
     vo
    1.34
     then
    1.30
     prest
    1.29
     THEN
    1.26
     proceed
    1.23
     attach
    1.21
     apply
    1.17
     optionally
    1.13
     activate
    1.11
     let
    1.08
    Activations Density 0.133%

    No Known Activations