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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    occurrences of the word "Cool" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the word "cool."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.82
    PLE
    -0.73
    olson
    -0.73
    ÑĢ
    -0.69
    avez
    -0.67
     Underworld
    -0.67
    ETH
    -0.65
    boro
    -0.64
    ITAL
    -0.64
    INAL
    -0.62
    POSITIVE LOGITS
     Cool
    1.15
    idge
    1.00
    er
    0.93
    Cool
    0.92
    erate
    0.89
    stuff
    0.77
    die
    0.77
     Beans
    0.74
     Factor
    0.74
    est
    0.74
    Activations Density 0.010%

    No Known Activations