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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
    11. 14213
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    INDEX
    Explanations

    names and titles within a text

    oai_token-act-pair · gpt-3.5-turbo

    specific letters and letter combinations, particularly focusing on the letter 'l' and its variants

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     fluor
    -0.66
    dfx
    -0.64
    TPS
    -0.64
     throats
    -0.60
    ailability
    -0.60
    BUR
    -0.59
    ħĭ
    -0.59
    ¿½
    -0.59
     differential
    -0.58
    ICES
    -0.58
    POSITIVE LOGITS
    uay
    0.98
    andise
    0.97
    ultural
    0.86
    orno
    0.86
    vernment
    0.86
    raph
    0.85
    udo
    0.74
    nostic
    0.73
    iru
    0.72
    eta
    0.71
    Activations Density 0.307%

    No Known Activations