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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. 6-RES-JB
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    Explanations

    verbs ending in 'ed'

    oai_token-act-pair · gpt-3.5-turbo

    variations of the letter "e" in various contexts, often related to verbs and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hyde
    -0.87
     medium
    -0.73
     sacrament
    -0.65
     Sacrament
    -0.63
     recovery
    -0.63
    efficients
    -0.63
     identification
    -0.62
     vul
    -0.61
    ocene
    -0.60
     examiner
    -0.59
    POSITIVE LOGITS
    inged
    0.92
    uously
    0.92
    oused
    0.91
    ashed
    0.91
    agged
    0.88
    iously
    0.86
    aciously
    0.86
    isively
    0.86
    ously
    0.85
    ashing
    0.84
    Activations Density 0.269%

    No Known Activations