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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. 23649
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    INDEX
    Explanations

    phrases with positive connotations

    oai_token-act-pair · gpt-3.5-turbo

    references to evaluations of good and bad qualities

    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
    ahime
    -0.99
    ascript
    -0.77
    xtap
    -0.76
    eph
    -0.75
    ipel
    -0.75
    unci
    -0.74
    ansson
    -0.74
    imet
    -0.72
    ascade
    -0.72
     Petersen
    -0.71
    POSITIVE LOGITS
     bad
    1.58
     BAD
    1.39
     good
    1.37
     GOOD
    1.37
     worse
    1.35
    bad
    1.34
     crappy
    1.29
     lousy
    1.27
    Bad
    1.27
     Bad
    1.26
    Activations Density 0.374%

    No Known Activations