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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. 9-RES-JB
    6. 6214
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    INDEX
    Explanations

    prepositional phrases indicating conflict or critical situations

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "at" in various contexts

    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
    aceutical
    -0.79
    FTWARE
    -0.63
    bender
    -0.58
    planes
    -0.57
    cert
    -0.57
     motions
    -0.57
    Ts
    -0.55
    alities
    -0.55
    OTHER
    -0.55
    tions
    -0.54
    POSITIVE LOGITS
     least
    1.25
    yp
    1.12
     odds
    1.09
     fault
    1.04
     logger
    1.03
     pains
    1.03
     risk
    1.03
     liberty
    0.97
     variance
    0.94
    onement
    0.93
    Activations Density 0.093%

    No Known Activations