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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. 23475
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    Explanations

    phrases related to comparison and observation, especially in different contexts like books, personal experiences, or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    commas in the text

    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
    ¬¼
    -0.74
    orse
    -0.73
    iculty
    -0.66
    endment
    -0.66
    ore
    -0.65
    ft
    -0.64
    orn
    -0.64
    prise
    -0.63
    =#
    -0.61
    Reply
    -0.61
    POSITIVE LOGITS
     namely
    1.31
     viz
    1.00
     including
    0.98
     plus
    0.84
     albeit
    0.81
     totaling
    0.78
     excluding
    0.77
     respectively
    0.77
    excluding
    0.76
     notably
    0.73
    Activations Density 0.442%

    No Known Activations