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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. 17667
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    INDEX
    Explanations

    expressions of excitement and community interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to public relations and power dynamics

    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
     Failure
    -0.81
    Failure
    -0.80
     Failed
    -0.76
     Errors
    -0.75
    apse
    -0.74
    failed
    -0.72
    alysed
    -0.70
    fail
    -0.70
    error
    -0.69
     Deaths
    -0.68
    POSITIVE LOGITS
     presumably
    0.98
     doubtless
    0.98
     enticing
    0.88
     nicely
    0.85
     nifty
    0.85
     reassuring
    0.84
     tantal
    0.83
     bolstered
    0.82
     handy
    0.81
     plaus
    0.81
    Activations Density 1.651%

    No Known Activations