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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. 13243
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    Explanations

    mentions of specific locations or places, particularly malls

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and landmarks, particularly related to malls

    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
    ×ķ
    -0.71
    IBLE
    -0.68
    ensation
    -0.68
    SHIP
    -0.67
    ×Ļ×
    -0.66
    SOURCE
    -0.65
     clicked
    -0.62
    DIT
    -0.60
    trial
    -0.60
     FANTASY
    -0.60
    POSITIVE LOGITS
     Mall
    1.26
    ikan
    0.99
    adium
    0.98
    aby
    0.98
    ageddon
    0.96
    endor
    0.93
    igl
    0.93
    andise
    0.92
    ijn
    0.89
    ificent
    0.84
    Activations Density 0.005%

    No Known Activations