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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. 523
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    Explanations

    entities related to locations, such as cities and colleges

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to places and names, particularly those with a recurring focus on "sburgh" and terms that suggest familiarity or repetition

    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
    esses
    -0.79
    omic
    -0.77
    hari
    -0.74
    ahn
    -0.74
    amber
    -0.72
    letcher
    -0.72
    estation
    -0.71
    icably
    -0.71
    unction
    -0.70
    urion
    -0.69
    POSITIVE LOGITS
    ÑĮ
    1.33
    Ñı
    1.09
    Ñģ
    1.06
    м
    0.98
    к
    0.95
    н
    0.88
    ÑĤ
    0.85
    Ñ
    0.83
    antics
    0.79
    geist
    0.74
    Activations Density 0.021%

    No Known Activations