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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    mentions of "Apache" helicopters

    oai_token-act-pair · gpt-3.5-turbo

    references to the Apache helicopter

    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
    icle
    -0.80
    urst
    -0.68
    egg
    -0.68
    straight
    -0.68
    akable
    -0.68
    çĶ
    -0.67
    clock
    -0.66
    amins
    -0.66
    pton
    -0.64
    rier
    -0.63
    POSITIVE LOGITS
     Apache
    1.32
     mosqu
    0.93
    apache
    0.82
    conservancy
    0.81
    Ap
    0.76
     hops
    0.75
    erey
    0.75
     woodland
    0.71
    enhagen
    0.70
     HTTP
    0.70
    Activations Density 0.008%

    No Known Activations