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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. 3-RES-JB
    11. 20977
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    Explanations

    action verbs and activities performed by people

    oai_token-act-pair · gpt-3.5-turbo

    active participial forms of verbs in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hap
    -0.72
    onsense
    -0.67
    ombat
    -0.67
    ppa
    -0.67
    talk
    -0.67
    response
    -0.67
    ochond
    -0.66
    redo
    -0.64
    ifact
    -0.63
    OPE
    -0.62
    POSITIVE LOGITS
    redients
    0.70
    tons
    0.68
     itself
    0.66
    allowed
    0.65
     spree
    0.63
    bird
    0.62
    iaries
    0.61
     Females
    0.60
    adoes
    0.59
    isance
    0.58
    Activations Density 0.455%

    No Known Activations