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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. 0-RES-JB
    11. 7598
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    INDEX
    Explanations

    phrases related to overwhelming situations or expressions of positivity

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with overwhelming situations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.65
    vier
    -0.64
    raph
    -0.64
     Harding
    -0.61
    rx
    -0.61
     swall
    -0.60
     upright
    -0.60
    igm
    -0.60
     suscept
    -0.60
    zos
    -0.59
    POSITIVE LOGITS
    whelming
    2.39
    placed
    2.01
    ocene
    1.49
    packed
    1.49
    rought
    1.25
    cooked
    1.19
     outfield
    1.13
    whel
    1.12
    bomb
    1.10
    onite
    1.10
    Activations Density 0.041%

    No Known Activations