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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. 8-RES-JB
    11. 10595
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    Explanations

    imperative verbs related to actions or recommendations

    oai_token-act-pair · gpt-3.5-turbo

    actions related to making decisions and taking steps in a process

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Confederation
    -0.56
    PRES
    -0.56
    COL
    -0.55
    hiba
    -0.54
     skyline
    -0.53
    icken
    -0.53
    TE
    -0.52
     attract
    -0.52
     respectively
    -0.51
     entangled
    -0.51
    POSITIVE LOGITS
     myself
    0.71
     caution
    0.71
    poke
    0.71
     overboard
    0.70
     caveats
    0.70
    ivably
    0.66
     disclaimer
    0.65
    ãĥĥãĥī
    0.64
    idav
    0.64
    phasis
    0.63
    Activations Density 0.491%

    No Known Activations