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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 8256
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    INDEX
    Explanations

    contractions of the words 'do not' or 'does not'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "don’t" and its variations as indicators of negation or refusal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pione
    -1.31
    ò
    -1.26
     eleph
    -1.24
    aditional
    -1.23
    Þ
    -1.20
     practition
    -1.19
    ą
    -1.18
    ö
    -1.18
    é¾įå¥
    -1.18
    À
    -1.18
    POSITIVE LOGITS
    't
    1.61
    ´
    0.89
    \'
    0.81
    ned
    0.80
    `
    0.80
    ÃŃ
    0.79
    �
    0.76
    Ê
    0.69
    athan
    0.67
    uts
    0.66
    Activations Density 0.179%

    No Known Activations