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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. 9-RES-JB
    6. 16964
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    Explanations

    mentions of different types of hair

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hair and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ukong
    -0.73
    anmar
    -0.72
     guiActiveUnfocused
    -0.72
     Galile
    -0.71
    éĹĺ
    -0.69
     Lans
    -0.67
     Encounter
    -0.66
    ourke
    -0.65
    PsyNetMessage
    -0.63
    ENTION
    -0.63
    POSITIVE LOGITS
    pins
    1.20
    pin
    1.18
     foll
    1.16
    dress
    1.12
    brush
    1.05
    bread
    1.04
    pieces
    1.03
    line
    1.01
     salon
    1.01
    cuts
    0.98
    Activations Density 0.053%

    No Known Activations