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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. 7-RES-JB
    11. 20578
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    Explanations

    words related to expectation and comparison

    oai_token-act-pair · gpt-3.5-turbo

    expectations and comparisons regarding outcomes or experiences

    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
    tein
    -0.78
    aunder
    -0.75
    alde
    -0.73
    abase
    -0.70
    AAF
    -0.69
    affe
    -0.69
    anga
    -0.69
    azeera
    -0.68
    anski
    -0.67
    itaire
    -0.65
    POSITIVE LOGITS
     payoff
    0.79
     backlash
    0.71
     outcome
    0.70
     reaction
    0.69
     upfront
    0.67
    SpaceEngineers
    0.65
     Paradise
    0.65
     reactions
    0.64
     arrival
    0.64
     boon
    0.63
    Activations Density 0.192%

    No Known Activations