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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. 2815
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    INDEX
    Explanations

    phrases related to advocacy, support, and action

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and patterns of coordination in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    arton
    -0.69
    ledged
    -0.68
    GMT
    -0.68
    scribe
    -0.67
    exist
    -0.64
    olor
    -0.61
    BAT
    -0.60
    bilt
    -0.60
    urse
    -0.60
    rued
    -0.59
    POSITIVE LOGITS
     putting
    1.56
     distributing
    1.54
     converting
    1.53
     creating
    1.51
     turning
    1.51
     getting
    1.50
     spreading
    1.49
     adapting
    1.49
     letting
    1.49
     maintaining
    1.48
    Activations Density 0.625%

    No Known Activations