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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. 0-RES-JB
    11. 11470
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    Explanations

    mentions of specific names, particularly those related to literature such as "Vladimir Nabokov."

    oai_token-act-pair · gpt-3.5-turbo

    names of authors and key figures associated with literary works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hat
    -0.84
     Kosovo
    -0.76
    Portland
    -0.75
     Glasgow
    -0.75
     Hat
    -0.73
     Timbers
    -0.70
     PI
    -0.70
    knife
    -0.70
    Bo
    -0.69
    stack
    -0.68
    POSITIVE LOGITS
     Nab
    2.92
     Dol
    1.80
     Saul
    1.20
    ibur
    1.18
     Faul
    1.13
     Alc
    1.11
     Mead
    1.07
     Aram
    1.05
     BCE
    1.03
     Kant
    1.00
    Activations Density 0.076%

    No Known Activations