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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. 16889
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    Explanations

    verbs in the past tense

    oai_token-act-pair · gpt-3.5-turbo

    common auxiliary and linking verbs

    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
    lake
    -0.67
     paternity
    -0.66
    Blake
    -0.63
    pool
    -0.61
    workers
    -0.60
     Entered
    -0.59
    itiveness
    -0.59
    Wonder
    -0.59
    iling
    -0.58
     Liver
    -0.57
    POSITIVE LOGITS
     primarily
    0.81
     therefore
    0.81
    sterdam
    0.79
     itself
    0.77
     mainly
    0.75
     indeed
    0.75
     basically
    0.75
     also
    0.73
     essentially
    0.73
     categorized
    0.73
    Activations Density 0.887%

    No Known Activations