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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. 0-RES-JB
    11. 1311
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    Explanations

    phrases related to responding to various situations or stimuli

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "responding."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bones
    -0.72
    lav
    -0.63
    hani
    -0.62
    cott
    -0.61
     cabal
    -0.60
     Club
    -0.59
    abba
    -0.59
    cot
    -0.59
    SL
    -0.59
    gio
    -0.58
    POSITIVE LOGITS
     responding
    3.69
     reacting
    2.30
     answering
    1.97
     Respond
    1.90
     respond
    1.83
     responded
    1.77
     responds
    1.70
    respond
    1.60
     response
    1.60
     responses
    1.57
    Activations Density 0.013%

    No Known Activations