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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. 2-RES-JB
    11. 20923
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    Explanations

    tentatively stated information

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and adverbs that end with 'atively'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GD
    -0.76
    Os
    -0.70
    mails
    -0.70
    ocene
    -0.67
    letter
    -0.66
    docs
    -0.66
    GER
    -0.65
    enf
    -0.65
    cards
    -0.65
    Fal
    -0.61
    POSITIVE LOGITS
    代
    0.88
    atively
    0.86
     speaking
    0.85
    ignty
    0.83
     Speaking
    0.80
     minded
    0.80
     Pwr
    0.74
     priced
    0.72
    imate
    0.71
     sidx
    0.71
    Activations Density 0.010%

    No Known Activations