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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16251
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    Explanations

    phrases indicating a level of involvement or connection to a situation or idea

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate actions or experiences in a casual or conversational context

    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
     urgently
    -0.70
     proudly
    -0.68
     purportedly
    -0.66
     reportedly
    -0.65
     ostensibly
    -0.64
     routinely
    -0.64
     celebrated
    -0.63
     widely
    -0.62
     preferably
    -0.61
    ewitness
    -0.61
    POSITIVE LOGITS
    ahime
    0.93
    onite
    0.80
    tin
    0.78
    kered
    0.67
    paralle
    0.67
    icable
    0.66
    appro
    0.65
    tle
    0.65
     misunder
    0.64
     glim
    0.63
    Activations Density 0.433%

    No Known Activations