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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. 12105
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    Explanations

    gerunds or present participles that indicate action or ongoing processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to actions or tasks that need to be done

    oai_token-act-pair · gpt-3.5-turbo
    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
    ère
    -0.66
     Anthem
    -0.61
    IDA
    -0.59
    OPE
    -0.58
    dt
    -0.57
    ãĥĩãĤ£
    -0.56
     Plane
    -0.55
    atron
    -0.54
    stract
    -0.54
     Target
    -0.54
    POSITIVE LOGITS
    redients
    0.75
    tons
    0.71
     ability
    0.69
    AME
    0.67
     electron
    0.64
    ococ
    0.63
    ansk
    0.62
    helps
    0.61
     noises
    0.60
    isance
    0.59
    Activations Density 0.622%

    No Known Activations