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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. 17602
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    INDEX
    Explanations

    keywords related to the concept of "soaking" or "absorption."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to soaking or saturation processes

    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
    eways
    -0.80
    axies
    -0.79
    affer
    -0.77
    atorial
    -0.75
     projection
    -0.71
    itars
    -0.70
     misunder
    -0.69
     suicidal
    -0.67
     rink
    -0.66
     submar
    -0.66
    POSITIVE LOGITS
    LECT
    0.92
     soak
    0.90
    lite
    0.84
    uncture
    0.75
    ersion
    0.75
    Micro
    0.73
     soaking
    0.71
    seq
    0.71
    hene
    0.71
    ffee
    0.69
    Activations Density 0.014%

    No Known Activations