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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. 14452
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    INDEX
    Explanations

    mentions of exceptionally large or significant events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "massive" in various 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
    yer
    -0.90
    keeper
    -0.80
    keepers
    -0.76
    mates
    -0.74
    Dialogue
    -0.73
    gemony
    -0.72
    wick
    -0.71
    nery
    -0.71
    say
    -0.70
    roma
    -0.70
    POSITIVE LOGITS
     amounts
    1.09
     undertaking
    0.96
     earthqu
    0.94
     influx
    0.92
     swath
    0.89
     quantities
    0.89
     understatement
    0.86
     proportions
    0.86
     conglomer
    0.84
     scale
    0.83
    Activations Density 0.037%

    No Known Activations