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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. 9-RES-JB
    11. 17224
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    Explanations

    phrases related to events or actions that could be considered impactful or influential

    oai_token-act-pair · gpt-3.5-turbo

    present tense and past tense forms of "to be"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dunk
    -0.70
     Tot
    -0.63
     Vers
    -0.62
     cub
    -0.62
     Train
    -0.62
     millenn
    -0.62
     dismant
    -0.59
     SPD
    -0.59
     Techn
    -0.59
     Maced
    -0.59
    POSITIVE LOGITS
    senal
    1.11
    rael
    1.07
    tics
    0.97
    omorphic
    0.91
    othermal
    0.86
    abella
    0.86
    lam
    0.85
    wolves
    0.84
    wolf
    0.83
    hes
    0.83
    Activations Density 0.397%

    No Known Activations