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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. 3-RES-JB
    11. 1945
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    INDEX
    Explanations

    phrases starting with the word "following"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "following"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cci
    -0.84
    rimination
    -0.81
    aucas
    -0.71
    iman
    -0.70
    uca
    -0.68
    cin
    -0.67
    aho
    -0.67
    lux
    -0.66
    eri
    -0.65
    eg
    -0.65
    POSITIVE LOGITS
    combe
    0.70
    noon
    0.68
     weeks
    0.66
     suit
    0.64
     follows
    0.63
     ceremonies
    0.63
    ĸļ
    0.62
    Īè
    0.62
     SX
    0.61
     closely
    0.60
    Activations Density 0.031%

    No Known Activations