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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. 19693
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    Explanations

    words related to wet or damp conditions

    oai_token-act-pair · gpt-3.5-turbo

    words containing specific consonant-vowel patterns or endings

    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
    ATTLE
    -0.70
    ENE
    -0.65
     adop
    -0.63
     STATS
    -0.63
    ICH
    -0.61
    INAL
    -0.60
     mins
    -0.59
    ById
    -0.59
    phase
    -0.58
     Geneva
    -0.58
    POSITIVE LOGITS
    Cola
    0.86
    umatic
    0.85
    mouth
    0.79
     nipples
    0.79
    ucket
    0.74
    merga
    0.73
    Plex
    0.73
     Nieto
    0.72
    asant
    0.70
     nipple
    0.69
    Activations Density 0.068%

    No Known Activations