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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. 9-RES-JB
    11. 5184
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    INDEX
    Explanations

    phrases in quotes

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =>
    -0.88
    */(
    -0.76
    cffffcc
    -0.76
    Reviewer
    -0.73
     apex
    -0.71
    soDeliveryDate
    -0.70
    wcs
    -0.69
    Students
    -0.69
     CLIENT
    -0.68
    CONCLUS
    -0.67
    POSITIVE LOGITS
     Andersen
    1.16
     Johnson
    1.09
     Roberts
    1.07
     Robinson
    1.06
     Bennett
    1.04
     Nelson
    1.02
     Thompson
    1.00
     Smith
    1.00
     Jackson
    0.99
     Richardson
    0.98
    Activations Density 0.088%

    No Known Activations