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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. 5899
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    Explanations

    proper nouns (potentially names) related to a specific location or person named "Barn"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the name "Barn" in various contexts

    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
    ffic
    -0.73
    aneous
    -0.72
    ctors
    -0.70
    ittee
    -0.65
    VICE
    -0.65
     Garc
    -0.64
     regret
    -0.63
    zanne
    -0.62
    plete
    -0.60
    lda
    -0.59
    POSITIVE LOGITS
    aby
    1.29
    acles
    1.28
    acle
    1.26
    yard
    1.25
    ards
    1.03
    owitz
    0.97
    abal
    0.97
    abies
    0.96
    ard
    0.94
    ataka
    0.93
    Activations Density 0.054%

    No Known Activations