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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 6-RES-JB
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    Explanations

    the name "Escobar" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Escobar."

    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
    ãĥĩãĤ£
    -0.83
     Dynamics
    -0.70
    åĤ
    -0.68
    spot
    -0.67
    cule
    -0.65
     GUN
    -0.65
    fuck
    -0.64
    gaard
    -0.64
     living
    -0.63
    WARE
    -0.63
    POSITIVE LOGITS
    ribed
    1.17
    apist
    1.07
    aped
    1.00
    ription
    0.95
    apes
    0.94
    udos
    0.93
    orts
    0.92
    aline
    0.90
    adr
    0.89
    ounters
    0.89
    Activations Density 0.026%

    No Known Activations