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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. 5-RES-JB
    6. 4414
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    INDEX
    Explanations

    words related to spatial direction and physical effort

    oai_token-act-pair · gpt-3.5-turbo

    terms related to directional movement, particularly "upstream" and "downstream."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Manson
    -0.81
    itia
    -0.74
    andum
    -0.72
    atton
    -0.69
    BuyableInstoreAndOnline
    -0.68
    nova
    -0.68
    acca
    -0.68
    iasis
    -0.68
    pmwiki
    -0.66
    orian
    -0.66
    POSITIVE LOGITS
     downstream
    1.05
     upstream
    0.96
    side
    0.81
    ward
    0.74
    é¾
    0.72
    wards
    0.70
    stream
    0.70
    stairs
    0.67
    most
    0.65
    edIn
    0.62
    Activations Density 0.018%

    No Known Activations