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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. 3-RES-JB
    11. 22830
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    Explanations

    references to short-term periods of time spent in certain activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stint" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hammad
    -0.81
    ported
    -0.75
    ramid
    -0.69
    cussion
    -0.65
    ply
    -0.61
    pure
    -0.61
    facts
    -0.60
    actionDate
    -0.60
    evidence
    -0.59
    fact
    -0.59
    POSITIVE LOGITS
     stint
    1.15
     assignments
    0.81
    ayson
    0.76
    nell
    0.74
    ilitation
    0.74
    ãĥĺ
    0.73
    ional
    0.71
    eatures
    0.71
     periods
    0.71
    ãĤ©
    0.70
    Activations Density 0.015%

    No Known Activations