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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. 4-RES-JB
    11. 16119
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    Explanations

    actions related to elimination or destruction

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "wiping out" or eliminating something

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

    No Comments

    Negative Logits
    cius
    -0.73
    ND
    -0.72
    ORY
    -0.71
    entle
    -0.70
    iw
    -0.69
    anguage
    -0.67
    amy
    -0.65
    cious
    -0.65
     mathemat
    -0.65
    OLD
    -0.65
    POSITIVE LOGITS
    flow
    0.76
     mosquit
    0.75
     coli
    0.74
     havoc
    0.73
    stretched
    0.68
     mosquitoes
    0.68
    gradation
    0.66
    ta
    0.65
     pests
    0.65
     Firefly
    0.63
    Activations Density 0.028%

    No Known Activations