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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. 1-RES-JB
    11. 19678
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    Explanations

    phrases containing a specific word 'which' and then highlighting the following context

    oai_token-act-pair · gpt-3.5-turbo

    clauses that provide additional information or context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Behind
    -0.73
    athi
    -0.66
    let
    -0.63
    Bas
    -0.61
    Gy
    -0.61
    WARE
    -0.60
    bug
    -0.57
    hat
    -0.57
    belt
    -0.56
    spect
    -0.56
    POSITIVE LOGITS
    soever
    1.00
     contrasts
    0.79
    akespeare
    0.76
     consisted
    0.73
    xual
    0.72
    ĸļ
    0.71
     lasted
    0.71
     resulted
    0.71
     consists
    0.70
    ornia
    0.69
    Activations Density 0.111%

    No Known Activations