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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 5586
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    INDEX
    Explanations

    proper nouns and headlines

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'R' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     slack
    -0.74
     Schumer
    -0.72
    grass
    -0.70
     cart
    -0.69
     removable
    -0.66
     wink
    -0.64
     Wikipedia
    -0.63
     CPR
    -0.63
     Granger
    -0.62
     Nieto
    -0.62
    POSITIVE LOGITS
    alph
    1.31
    ounding
    1.27
    ansom
    1.24
    agnar
    1.23
    abbit
    1.22
    ifles
    1.20
    ivals
    1.18
    ifle
    1.18
    ICH
    1.17
    utherford
    1.17
    Activations Density 0.032%

    No Known Activations