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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. 7-RES-JB
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    Explanations

    the word fragment "ler"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "ler" indicating a focus on a specific character or narrative element

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.80
    liest
    -0.69
    ĸļ
    -0.66
     quo
    -0.62
    popular
    -0.62
    SIM
    -0.61
    raints
    -0.59
    quant
    -0.58
     RT
    -0.56
    UAL
    -0.56
    POSITIVE LOGITS
    oad
    0.98
    gren
    0.95
    istics
    0.94
    iffe
    0.88
    stein
    0.85
    oaded
    0.83
    ogue
    0.82
    uci
    0.81
    onnaissance
    0.81
    icum
    0.80
    Activations Density 0.041%

    No Known Activations