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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. 3-RES-JB
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    Explanations

    occurrences of specific keywords, particularly related to a region or place named "Algonquin"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "gon."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VIS
    -0.71
    bers
    -0.71
     predictive
    -0.62
    Campaign
    -0.61
     textual
    -0.60
     ankles
    -0.57
    andem
    -0.57
     Ãľ
    -0.57
    faced
    -0.56
    NAS
    -0.55
    POSITIVE LOGITS
    vernment
    0.98
    gon
    0.97
    nel
    0.96
    auts
    0.95
    osal
    0.88
    naire
    0.85
    ia
    0.85
    ombies
    0.84
    zo
    0.83
    adal
    0.82
    Activations Density 0.016%

    No Known Activations