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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. 7-RES-JB
    6. 4540
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    Explanations

    adjectives describing the evaluation of something, such as "notable," "important," "great," "fascinating," and "unexpected."

    oai_token-act-pair · gpt-3.5-turbo

    positive adjectives and descriptors related to various subjects

    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
    ĸļ
    -1.09
    abus
    -0.93
    ully
    -0.86
    aucus
    -0.83
    anwhile
    -0.82
    ordon
    -0.81
    onto
    -0.81
     Originally
    -0.80
    ©¶æ
    -0.79
    orus
    -0.77
    POSITIVE LOGITS
     examples
    1.16
     aspects
    1.06
     moments
    1.06
     things
    1.04
     ideas
    1.03
     developments
    1.03
     additions
    1.01
     surprises
    1.00
     instances
    0.99
     occasions
    0.98
    Activations Density 0.259%

    No Known Activations