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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. 8-RES-JB
    11. 2643
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    Explanations

    phrases related to actions or events being done or undertaken

    oai_token-act-pair · gpt-3.5-turbo

    formal or sophisticated terms related to actions and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verbs
    -0.82
    paren
    -0.69
    elling
    -0.69
    parse
    -0.68
    ammy
    -0.66
    bind
    -0.65
    ramid
    -0.63
    fire
    -0.62
    acea
    -0.62
    Cop
    -0.61
    POSITIVE LOGITS
    ments
    0.94
    orld
    0.74
    hower
    0.73
    chnology
    0.72
     hast
    0.69
     therein
    0.68
    ngth
    0.67
     Presents
    0.67
    ment
    0.66
    wcsstore
    0.65
    Activations Density 0.373%

    No Known Activations