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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. 1290
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    Explanations

    phrases related to evaluating the effectiveness or consequences of actions

    oai_token-act-pair · gpt-3.5-turbo

    themes of uncertainty and evaluation of evidence or policies

    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
     reminds
    -0.60
    inis
    -0.58
    uploads
    -0.58
    anwhile
    -0.57
    razil
    -0.57
    lda
    -0.55
     Valentine
    -0.53
     amazed
    -0.51
     reminded
    -0.51
    azon
    -0.50
    POSITIVE LOGITS
     whatsoever
    0.70
     worthwhile
    0.66
    CHQ
    0.63
     desired
    0.62
     outcome
    0.61
    izoph
    0.60
    )).
    0.59
     meaningful
    0.59
     harm
    0.58
    ratom
    0.58
    Activations Density 1.160%

    No Known Activations