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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. 1-RES-JB
    11. 23266
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    Explanations

    mentions of film festivals and premieres

    oai_token-act-pair · gpt-3.5-turbo

    references to festivals and film events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    say
    -0.49
    åĬ
    -0.46
    ividual
    -0.44
    itional
    -0.43
    ãĤĮ
    -0.42
    rupal
    -0.41
    iland
    -0.40
    ependence
    -0.40
    ek
    -0.38
    ãĤ®
    -0.37
    POSITIVE LOGITS
    estyles
    0.55
    terness
    0.52
    ĵĺ
    0.46
     Shutterstock
    0.45
     advis
    0.44
    ertodd
    0.44
    iage
    0.43
    worms
    0.43
    abilia
    0.42
     extraord
    0.42
    Activations Density 7.234%

    No Known Activations