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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. 7481
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    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in"

    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
    ADRA
    -0.71
    razil
    -0.68
    ODUCT
    -0.67
     abrupt
    -0.64
     crib
    -0.64
     Skydragon
    -0.63
    luaj
    -0.63
    DOWN
    -0.62
     millenn
    -0.61
    ackle
    -0.61
    POSITIVE LOGITS
    berg
    1.01
    feld
    0.99
    hof
    0.86
    horn
    0.85
    lein
    0.84
    velt
    0.84
    fried
    0.83
    mann
    0.83
    berger
    0.82
     Ober
    0.82
    Activations Density 0.122%

    No Known Activations