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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. 7-RES-JB
    11. 9349
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    INDEX
    Explanations

    phrases related to historical time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to historical and social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igham
    -0.48
    itialized
    -0.46
     earthqu
    -0.45
     bladder
    -0.45
    oret
    -0.44
    ometric
    -0.44
    ependent
    -0.43
     suspic
    -0.43
    escription
    -0.42
     Breach
    -0.41
    POSITIVE LOGITS
    .
    0.86
    _.
    0.84
     attRot
    0.83
     anymore
    0.80
    *.
    0.79
     onwards
    0.77
     anyways
    0.75
    .(
    0.75
    .''.
    0.74
    .</
    0.74
    Activations Density 0.875%

    No Known Activations