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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2702
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    Explanations

    dates related to historical events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates, particularly in September

    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
    Interstitial
    -0.72
     Halls
    -0.71
    Reviewer
    -0.68
    holders
    -0.67
    holder
    -0.66
     Bubble
    -0.65
    Reloaded
    -0.65
     Duty
    -0.64
     Hearts
    -0.63
    jriwal
    -0.61
    POSITIVE LOGITS
    alez
    0.97
    hens
    0.85
    olitics
    0.84
    hew
    0.84
    ibel
    0.83
    isco
    0.83
    opus
    0.81
    urnal
    0.81
    agen
    0.81
    ave
    0.80
    Activations Density 0.006%

    No Known Activations