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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. 7-RES-JB
    11. 3028
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    INDEX
    Explanations

    phrases indicating a shift of focus or topic

    oai_token-act-pair · gpt-3.5-turbo

    prepositional phrases and temporal indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xus
    -0.64
    imens
    -0.63
    apons
    -0.60
     Rescue
    -0.59
    ciples
    -0.59
     appro
    -0.59
     highs
    -0.59
    engers
    -0.58
    atever
    -0.57
    quartered
    -0.56
    POSITIVE LOGITS
    worldly
    0.70
    eal
    0.67
     Neo
    0.63
    Ħ¢
    0.63
    mentioned
    0.63
    atable
    0.60
    ALE
    0.60
    aldo
    0.58
    handed
    0.58
    erous
    0.57
    Activations Density 0.304%

    No Known Activations