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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. 6602
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names, particularly those related to individuals involved in specific contexts or events

    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
     IMAGES
    -0.87
    ional
    -0.83
    ariat
    -0.78
    ivity
    -0.73
    =-=-=-=-=-=-=-=-
    -0.72
    abad
    -0.71
    */(
    -0.71
    icks
    -0.68
    Technical
    -0.67
    icked
    -0.66
    POSITIVE LOGITS
     Mae
    0.96
    emonic
    0.85
    zie
    0.83
    merce
    0.81
    zn
    0.79
    hl
    0.77
    zza
    0.76
    pling
    0.75
    lect
    0.74
    lys
    0.73
    Activations Density 0.005%

    No Known Activations