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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. 9-RES-JB
    11. 22868
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    Explanations

    metaphorical expressions or idiomatic phrases related to challenges and solutions

    oai_token-act-pair · gpt-3.5-turbo

    metaphorical phrases and imagery related to obstacles or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rongh
    -0.79
    ongs
    -0.77
    ritz
    -0.72
    cont
    -0.72
    orks
    -0.70
    alle
    -0.70
    ickets
    -0.69
    URA
    -0.69
    deep
    -0.69
    qus
    -0.69
    POSITIVE LOGITS
     approach
    0.87
     scenario
    0.83
     mentality
    0.80
     solution
    0.79
     situation
    0.76
     moment
    0.71
     tactic
    0.71
     whereby
    0.71
     negotiation
    0.68
     superpower
    0.68
    Activations Density 0.349%

    No Known Activations