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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. 2-RES-JB
    11. 2071
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    INDEX
    Explanations

    mentions of titles or ranks, specifically the title "Count"

    oai_token-act-pair · gpt-3.5-turbo

    the word "Count" followed by numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BIT
    -0.72
    OPLE
    -0.69
    ा
    -0.66
    acle
    -0.66
    Kin
    -0.65
    ggie
    -0.63
    rb
    -0.61
    ELF
    -0.61
    urn
    -0.60
    oteric
    -0.56
    POSITIVE LOGITS
    enance
    1.44
    esses
    0.99
    ess
    0.99
    ries
    0.93
    onia
    0.80
    downs
    0.80
    âĦ¢:
    0.79
    rooms
    0.76
    ies
    0.75
     Count
    0.74
    Activations Density 0.011%

    No Known Activations