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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. 6-RES-JB
    11. 4475
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    Explanations

    statistics related to likelihood or probability

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statistical likelihood or probabilities associated with various groups or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zeb
    -0.94
    uart
    -0.76
    inelli
    -0.76
    wagen
    -0.75
    andan
    -0.74
    kind
    -0.72
    dust
    -0.72
    ornia
    -0.71
    ylan
    -0.71
    sterdam
    -0.71
    POSITIVE LOGITS
    ت
    0.79
     than
    0.74
     divorce
    0.72
     likely
    0.71
     prey
    0.69
    âĢł
    0.68
     incarcer
    0.67
     infer
    0.66
     prone
    0.65
     respondents
    0.65
    Activations Density 0.030%

    No Known Activations