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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. 11153
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    Explanations

    words related to quick, energetic movements or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sw" in various contexts

    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
    pora
    -0.73
    OPLE
    -0.71
    ICAL
    -0.68
    _-
    -0.67
     preferential
    -0.67
    Reloaded
    -0.66
     paving
    -0.65
    اÙĦ
    -0.65
    EStream
    -0.63
     negligent
    -0.63
    POSITIVE LOGITS
    immers
    1.07
    inging
    1.01
    indle
    1.00
    imming
    0.99
    arf
    0.98
    itched
    0.98
    addle
    0.97
    ashing
    0.97
    anky
    0.97
    apon
    0.97
    Activations Density 0.007%

    No Known Activations