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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. 8-RES-JB
    6. 1263
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    Explanations

    phrases related to waiting or time passing

    oai_token-act-pair · gpt-3.5-turbo

    phrases reflecting positive or enhancing experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.66
    ?",
    -0.56
     Zup
    -0.53
     Appalachian
    -0.52
     Samson
    -0.49
     Andersen
    -0.47
    "))
    -0.47
    "],
    -0.47
     )]
    -0.46
    itled
    -0.46
    POSITIVE LOGITS
     anyways
    0.93
     anyway
    0.82
    %.
    0.76
     ðŁĻĤ
    0.70
    !.
    0.69
    .).
    0.69
    .'
    0.68
    .�
    0.68
    '.
    0.67
    '."
    0.66
    Activations Density 1.617%

    No Known Activations