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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. 3-RES-JB
    11. 20072
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    INDEX
    Explanations

    phrases related to coaching or coaches

    oai_token-act-pair · gpt-3.5-turbo

    references to coaching in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nery
    -0.76
    emn
    -0.70
     Scotia
    -0.66
    iry
    -0.66
    self
    -0.65
    atos
    -0.64
    utter
    -0.63
    tar
    -0.62
    imb
    -0.61
    export
    -0.61
    POSITIVE LOGITS
     coaching
    1.05
     coaches
    1.00
     coach
    0.93
     coached
    0.86
    urally
    0.84
     trainer
    0.79
     Coach
    0.76
    Ħ¢
    0.70
    tackle
    0.69
     personnel
    0.69
    Activations Density 0.010%

    No Known Activations