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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. 8-RES-JB
    11. 8601
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    Explanations

    terms related to reaching a specific target or milestone

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stretch"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.90
    nect
    -0.90
    eers
    -0.85
    ienced
    -0.84
    eering
    -0.79
    ellery
    -0.78
    gently
    -0.75
    iences
    -0.75
    ufact
    -0.74
    vernment
    -0.72
    POSITIVE LOGITS
    opian
    0.76
     Goals
    0.71
     stretched
    0.71
    Kansas
    0.69
     stretches
    0.67
     beyond
    0.66
    overs
    0.65
     Goal
    0.64
    aways
    0.64
     lim
    0.63
    Activations Density 0.041%

    No Known Activations