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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. 4460
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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
    Footnote
    -0.74
    âĢ¢âĢ¢
    -0.68
    ña
    -0.60
    places
    -0.60
    imoto
    -0.60
    fig
    -0.59
    lied
    -0.59
    iple
    -0.59
    ón
    -0.58
    ZA
    -0.58
    POSITIVE LOGITS
     Emails
    0.64
    lishes
    0.64
    ixture
    0.61
    awks
    0.61
    aundering
    0.60
    ļéĨĴ
    0.59
     Join
    0.57
    adena
    0.57
     sclerosis
    0.57
    icans
    0.56
    Activations Density 0.040%

    No Known Activations