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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. 1-RES-JB
    11. 14233
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    Explanations

    words related to recapturing or taking back something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military operations and recovery processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.89
    stakes
    -0.72
    pace
    -0.72
     Hazard
    -0.66
    κ
    -0.63
     Happ
    -0.63
     intolerance
    -0.61
    :,
    -0.61
     IST
    -0.61
    HT
    -0.60
    POSITIVE LOGITS
     recapt
    0.90
    osponsors
    0.80
    ricting
    0.77
    inez
    0.77
     Seym
    0.74
     commissions
    0.73
    avers
    0.73
    arta
    0.71
    imation
    0.70
    imating
    0.69
    Activations Density 0.020%

    No Known Activations