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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. 2914
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    Explanations

    research-related terms and findings such as "demonstrated," "reported," "shown," and study results

    oai_token-act-pair · gpt-3.5-turbo

    research findings related to health and medical conditions

    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
    ENSE
    -0.72
    dit
    -0.72
    iru
    -0.71
    chest
    -0.71
    oration
    -0.70
    UME
    -0.68
    unda
    -0.68
    achment
    -0.67
     condolences
    -0.66
    uary
    -0.66
    POSITIVE LOGITS
     anecd
    0.96
     effic
    0.93
     experiment
    0.84
     efficacy
    0.83
     experiments
    0.81
     coerc
    0.80
     experimenting
    0.80
     preval
    0.76
     experimentation
    0.73
     experimented
    0.73
    Activations Density 0.422%

    No Known Activations