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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 3587
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    Explanations

    mentions of the word "clean"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "clear" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Krug
    -0.72
     Tul
    -0.71
     Kings
    -0.67
     Paramount
    -0.67
     Galaxy
    -0.67
     Physicians
    -0.66
     Ducks
    -0.65
    BuyableInstoreAndOnline
    -0.64
     Hunters
    -0.63
     PBS
    -0.63
    POSITIVE LOGITS
    arest
    1.06
     cle
    1.06
    avage
    0.93
    combe
    0.92
    veland
    0.85
    ogly
    0.84
    bage
    0.81
    fruit
    0.75
    utic
    0.73
    xp
    0.72
    Activations Density 0.006%

    No Known Activations