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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. 8-RES-JB
    6. 22810
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    INDEX
    Explanations

    terms related to intensity or urgency, particularly with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating tension or suspense

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.75
    STATE
    -0.69
    iliary
    -0.64
    esson
    -0.63
    States
    -0.63
    Ô
    -0.63
     hereafter
    -0.63
    esses
    -0.62
    FML
    -0.62
    vernment
    -0.61
    POSITIVE LOGITS
    monds
    0.70
    picked
    0.67
     clay
    0.67
     etched
    0.67
     stones
    0.67
     rods
    0.66
    sharp
    0.65
     paste
    0.65
     bushes
    0.63
     stone
    0.63
    Activations Density 0.183%

    No Known Activations