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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. 4-RES-JB
    11. 7822
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    Explanations

    words related to actions, often related to conflict or intensity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the root "ac" indicating actions or conditions

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

    No Comments

    Negative Logits
    ĸļ
    -0.91
     Katz
    -0.84
    iday
    -0.81
     Dare
    -0.78
    éĹĺ
    -0.74
    OPLE
    -0.74
     Sins
    -0.73
     Stur
    -0.72
     Territories
    -0.71
    vous
    -0.71
    POSITIVE LOGITS
    robat
    1.15
    oust
    1.02
    rylic
    0.96
    rament
    0.96
    uity
    0.95
    orns
    0.95
    rop
    0.93
    celer
    0.92
    anth
    0.90
    acia
    0.89
    Activations Density 0.008%

    No Known Activations