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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. 11302
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    Explanations

    actions or interactions involving people

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles describing actions

    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
    hap
    -0.68
     Choose
    -0.67
    ifact
    -0.67
    ont
    -0.67
    zip
    -0.66
    deal
    -0.64
    redo
    -0.62
    pel
    -0.60
    eva
    -0.59
    onsense
    -0.59
    POSITIVE LOGITS
     spree
    0.72
    iaries
    0.62
     behavi
    0.61
    helps
    0.60
    eering
    0.60
     peril
    0.59
    tons
    0.58
    AME
    0.58
     neutron
    0.58
     Muss
    0.58
    Activations Density 0.396%

    No Known Activations