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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. 4-RES-JB
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    Explanations

    specific mentions of places, particularly locations with the prefix "Col"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Col" followed by a number

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Werewolf
    -0.81
    natureconservancy
    -0.80
     Remastered
    -0.74
    cffffcc
    -0.71
     Ducks
    -0.66
     forth
    -0.66
     Icelandic
    -0.64
    visor
    -0.63
    WARE
    -0.63
    ARP
    -0.63
    POSITIVE LOGITS
    ossal
    1.19
    onel
    1.12
    umbo
    1.03
    ours
    1.02
    leen
    1.02
    onial
    0.99
    ombo
    0.98
    ophon
    0.90
    ouring
    0.88
    oured
    0.88
    Activations Density 0.008%

    No Known Activations