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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. 20683
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    INDEX
    Explanations

    phrases indicating quantity or plurality

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating quantity or frequency of things

    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
    anism
    -0.77
    arta
    -0.76
     srfAttach
    -0.76
    assisted
    -0.76
    ENCE
    -0.75
    slaught
    -0.73
    matter
    -0.73
    buster
    -0.71
    ãĥ¼ãĥ«
    -0.70
    escription
    -0.69
    POSITIVE LOGITS
     exceptions
    1.23
     reasons
    1.22
     indications
    1.17
     occasions
    1.12
     ways
    1.11
     differences
    1.08
     instances
    1.07
     similarities
    1.05
     caveats
    0.95
     discrepancies
    0.95
    Activations Density 0.165%

    No Known Activations