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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. 4860
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    Explanations

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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
    ADRA
    -0.68
    PASS
    -0.66
    VALUE
    -0.63
    Vote
    -0.63
    India
    -0.60
     brill
    -0.59
    Prim
    -0.57
    Fed
    -0.57
    ITION
    -0.57
    Issue
    -0.57
    POSITIVE LOGITS
    tein
    1.42
    icz
    1.20
    ewski
    1.16
    enegger
    1.15
    midt
    1.08
    opoulos
    1.07
    zyk
    1.05
    iewicz
    1.04
    akis
    1.03
    ner
    1.02
    Activations Density 0.237%

    No Known Activations