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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. 10-RES-JB
    11. 11607
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    INDEX
    Explanations

    verbs and phrases indicating expectations and comparisons

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expectations and perceived inadequacies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gul
    -0.65
     sweat
    -0.57
     reluct
    -0.56
     psychology
    -0.54
     parachute
    -0.54
    letters
    -0.53
     Hik
    -0.53
    ãĥĻ
    -0.52
    ronic
    -0.51
     Roose
    -0.50
    POSITIVE LOGITS
     anyways
    0.93
     anyway
    0.90
    !.
    0.85
     because
    0.85
     anymore
    0.82
    .--
    0.78
     ;)
    0.76
     due
    0.75
    .
    0.74
    .#
    0.74
    Activations Density 0.146%

    No Known Activations