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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. 23149
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    Explanations

    specific repeated sequences of letters

    oai_token-act-pair · gpt-3.5-turbo

    the acronym "AM" associated with time references, likely indicating morning timestamps

    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
     Wick
    -0.78
    keye
    -0.69
     Norn
    -0.68
    ĸļ
    -0.66
     Edge
    -0.66
     Dimensions
    -0.65
     dimensions
    -0.65
     Sketch
    -0.63
    accompanied
    -0.63
     fixme
    -0.59
    POSITIVE LOGITS
    ICAN
    1.27
    sterdam
    1.20
    AM
    1.15
    endment
    1.12
    URA
    1.01
    nesty
    0.97
    MY
    0.96
    ILY
    0.96
    PLIC
    0.95
    AZ
    0.92
    Activations Density 0.006%

    No Known Activations