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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. 6-RES-JB
    11. 14054
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    Explanations

    prepositions followed by a location or destination

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.69
    llan
    -0.68
     convol
    -0.68
     Sorceress
    -0.67
    soever
    -0.65
    HAEL
    -0.64
    CLASSIFIED
    -0.63
    ,...
    -0.61
     heights
    -0.59
     lodged
    -0.59
    POSITIVE LOGITS
    clus
    1.40
    patient
    1.35
    effic
    1.30
    clusions
    1.30
    organic
    1.29
    animate
    1.24
    ordinate
    1.23
    humane
    1.17
    efficiency
    1.15
    authent
    1.14
    Activations Density 0.287%

    No Known Activations