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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. 2325
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    Explanations

    phrases related to interviews or public discussions

    oai_token-act-pair · gpt-3.5-turbo

    references to events or discussions on online platforms

    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
    gered
    -0.81
    tenance
    -0.76
    fare
    -0.75
    vous
    -0.70
    pants
    -0.68
     menstru
    -0.67
    zag
    -0.66
     WOM
    -0.64
     Typhoon
    -0.64
    lly
    -0.64
    POSITIVE LOGITS
    emonic
    1.06
    alach
    0.90
    aren
    0.83
    atch
    0.83
    orship
    0.81
    olitan
    0.79
    Ń·
    0.79
    Ģ
    0.78
     footh
    0.78
    olit
    0.75
    Activations Density 0.025%

    No Known Activations