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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. 6-RES-JB
    11. 10946
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    INDEX
    Explanations

    phrases related to discarding or throwing something away

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating rejection or disposal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acca
    -0.74
    caster
    -0.74
    bys
    -0.73
    conom
    -0.72
    isan
    -0.72
    trak
    -0.70
    uku
    -0.69
    walking
    -0.65
    lance
    -0.65
    bear
    -0.65
    POSITIVE LOGITS
     lowest
    0.91
     bloodstream
    0.90
     rightful
    0.89
     entirety
    0.87
     shoulders
    0.85
     highest
    0.84
     forefront
    0.81
     proverbial
    0.80
     same
    0.79
     fullest
    0.78
    Activations Density 0.396%

    No Known Activations