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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. 162
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    Explanations

    mentions of workshops

    oai_token-act-pair · gpt-3.5-turbo

    references to workshops

    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
    croft
    -0.70
    bis
    -0.67
    pend
    -0.65
    sey
    -0.65
    terior
    -0.65
    emic
    -0.63
    anthrop
    -0.62
    sec
    -0.61
    judicial
    -0.61
    rising
    -0.60
    POSITIVE LOGITS
    smanship
    0.93
     workshop
    0.83
    dayName
    0.81
    yrinth
    0.80
     Workshop
    0.80
     srfAttach
    0.74
    rador
    0.73
    craft
    0.71
     Instruct
    0.69
    hops
    0.69
    Activations Density 0.010%

    No Known Activations