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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. 7475
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    Explanations

    references to winning or losing streaks

    oai_token-act-pair · gpt-3.5-turbo

    references to winning or losing streaks in competitive contexts

    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
    ãĤº
    -0.72
     Lod
    -0.71
    acus
    -0.71
    Sov
    -0.71
    ACTED
    -0.71
    resources
    -0.67
    onomic
    -0.67
    abad
    -0.67
    ocated
    -0.65
    gency
    -0.63
    POSITIVE LOGITS
     streak
    1.13
    iness
    0.83
    icity
    0.82
     spanning
    0.81
    isSpecialOrderable
    0.80
     streaks
    0.78
    manship
    0.76
    uous
    0.75
    ipel
    0.71
     stretching
    0.70
    Activations Density 0.040%

    No Known Activations