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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. 23301
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    INDEX
    Explanations

    phrases related to cause and effect or the implications of certain actions

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "this" and "that" used in various contexts

    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
    osponsors
    -0.83
    icons
    -0.81
    emale
    -0.78
    thumbnails
    -0.75
    cycles
    -0.73
    oons
    -0.72
    chairs
    -0.72
    hops
    -0.71
    istors
    -0.70
    tips
    -0.69
    POSITIVE LOGITS
     reasoning
    0.81
     vantage
    0.77
    ,
    0.77
     statement
    0.77
     realization
    0.77
     scenario
    0.77
     standpoint
    0.75
     point
    0.73
     article
    0.72
     influx
    0.72
    Activations Density 0.157%

    No Known Activations