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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. 2-RES-JB
    11. 17197
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    INDEX
    Explanations

    references to academic or formal studying activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "studying" and its variations

    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
    por
    -0.75
    shr
    -0.70
    PRESS
    -0.68
    cakes
    -0.66
    cycl
    -0.63
    Anth
    -0.62
    trap
    -0.60
    responsive
    -0.59
    theless
    -0.58
     catast
    -0.58
    POSITIVE LOGITS
     abroad
    0.83
     studying
    0.81
    udo
    0.81
    arios
    0.81
    study
    0.79
    uto
    0.73
     study
    0.73
    umat
    0.73
    izabeth
    0.73
    essors
    0.72
    Activations Density 0.027%

    No Known Activations