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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. 6-RES-JB
    11. 21969
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to imaging and measurement technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abus
    -0.63
    lands
    -0.63
    grounds
    -0.63
    expr
    -0.61
     srf
    -0.60
    cakes
    -0.60
    tab
    -0.60
     Caller
    -0.58
    fires
    -0.57
    killing
    -0.57
    POSITIVE LOGITS
    phrine
    0.91
    issance
    0.88
    vernment
    0.82
    ciating
    0.77
    ography
    0.75
    pei
    0.74
    zzi
    0.74
    agnetic
    0.72
    zzo
    0.71
    hesive
    0.70
    Activations Density 0.096%

    No Known Activations