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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
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    Explanations

    the word **'ind'** followed by a single digit with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    the word "ind" in various contexts

    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
    Ĥİ
    -0.79
    EStream
    -0.78
     tremend
    -0.76
     pity
    -0.68
     aim
    -0.67
    awaru
    -0.67
     rubbish
    -0.66
     litter
    -0.66
     crest
    -0.66
    senal
    -0.66
    POSITIVE LOGITS
    irect
    1.14
    icative
    1.00
    icator
    0.99
    ebted
    0.98
    ind
    0.96
    icators
    0.93
    ications
    0.91
    igenous
    0.91
    ividually
    0.90
    sight
    0.86
    Activations Density 0.007%

    No Known Activations