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    1. Home
    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. 16260
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    Explanations

    phrases related to using or interacting with a specific object

    oai_token-act-pair · gpt-3.5-turbo

    references to "brush" or "brushing" in various 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
    reme
    -0.83
    alg
    -0.74
    rano
    -0.71
    oppable
    -0.71
    ramid
    -0.70
    eon
    -0.65
    Sax
    -0.65
    egal
    -0.63
    ourke
    -0.63
    undai
    -0.63
    POSITIVE LOGITS
    brush
    1.15
     Brush
    1.08
     brush
    1.08
     brushes
    0.90
    stroke
    0.85
    ="#
    0.80
    tip
    0.79
     strokes
    0.77
    fires
    0.76
    bank
    0.76
    Activations Density 0.006%

    No Known Activations