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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. 8-RES-JB
    11. 3983
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    Explanations

    names or specific mentions of the word "mer"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "mer" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wn
    -0.70
    ors
    -0.67
    ERO
    -0.66
    avorite
    -0.64
    Eat
    -0.62
     Malfoy
    -0.62
    arial
    -0.61
     Strauss
    -0.59
    naires
    -0.58
    Gi
    -0.58
    POSITIVE LOGITS
    gency
    1.23
    chant
    1.02
    maid
    0.98
    rill
    0.94
    zb
    0.87
    cium
    0.87
    ikan
    0.87
    cia
    0.86
    cedes
    0.83
    lund
    0.82
    Activations Density 0.031%

    No Known Activations