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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. 7-RES-JB
    6. 10322
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    INDEX
    Explanations

    terms related to beliefs in one's ability to achieve something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of capability or possibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ele
    -0.67
    quartered
    -0.66
    furt
    -0.64
    bats
    -0.60
    agram
    -0.59
    faces
    -0.59
    pend
    -0.59
     Appears
    -0.58
     Coff
    -0.58
     Sheet
    -0.58
    POSITIVE LOGITS
    't
    1.46
     afford
    1.12
    berra
    1.04
    NOT
    1.00
     safely
    0.95
     withstand
    0.93
     survive
    0.93
     be
    0.92
    adian
    0.90
     replicate
    0.90
    Activations Density 0.170%

    No Known Activations