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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. 9482
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    Explanations

    phrases related to hard work or persistence

    oai_token-act-pair · gpt-3.5-turbo

    references to hard work and perseverance

    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
    uana
    -0.67
    tymology
    -0.66
     associ
    -0.65
    cept
    -0.65
    por
    -0.62
    semble
    -0.60
    idas
    -0.60
    asel
    -0.59
     Legisl
    -0.59
     Nations
    -0.59
    POSITIVE LOGITS
     grind
    1.24
     Grind
    1.03
    ingly
    0.95
     grinding
    0.93
    stone
    0.86
    stones
    0.76
    aign
    0.74
    lock
    0.73
    sheet
    0.73
     Seym
    0.72
    Activations Density 0.010%

    No Known Activations