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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. 8-RES-JB
    11. 8476
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    Explanations

    phrases related to size and relative comparison

    oai_token-act-pair · gpt-3.5-turbo

    terms describing the magnitude or extent of concepts, particularly those associated with 'big', 'good', 'high', and 'broad'

    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
    iversary
    -0.75
    hern
    -0.69
    tops
    -0.67
    ords
    -0.67
    CHAT
    -0.67
    Reader
    -0.66
    THER
    -0.64
    SO
    -0.63
    idential
    -0.63
    SON
    -0.63
    POSITIVE LOGITS
     too
    0.75
    sighted
    0.63
     lately
    0.62
     cooks
    0.61
     baggage
    0.60
     fundament
    0.59
     lest
    0.59
    idious
    0.58
     mentally
    0.58
     academ
    0.58
    Activations Density 0.121%

    No Known Activations