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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3316
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    Explanations

    verbs related to taking action or performing a task

    oai_token-act-pair · gpt-3.5-turbo

    active verbs and interrogative phrases indicating actions or inquiries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )].
    -0.61
    ],"
    -0.60
    ".[
    -0.57
    ]."
    -0.56
    ]).
    -0.55
    "—
    -0.54
    )",
    -0.53
    ."[
    -0.53
    SPONSORED
    -0.52
    ;"
    -0.50
    POSITIVE LOGITS
    oret
    0.63
    cknowled
    0.55
    itionally
    0.53
    ensibly
    0.50
    itialized
    0.48
    hetically
    0.48
    orically
    0.47
     glim
    0.46
    Especially
    0.46
    neath
    0.45
    Activations Density 0.707%

    No Known Activations