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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. 11-RES-JB
    11. 6228
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    Explanations

    the acronym "ft" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ft" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sonia
    -0.67
     lottery
    -0.66
     scratch
    -0.64
    Ĥİ
    -0.63
     Elaine
    -0.60
    states
    -0.59
    IZE
    -0.59
     eclipse
    -0.58
     ABE
    -0.56
     heck
    -0.56
    POSITIVE LOGITS
    entimes
    1.30
    imore
    1.09
    rax
    1.02
    ools
    1.01
    ree
    1.00
    ronics
    0.97
    acular
    0.96
    imes
    0.96
    rell
    0.94
    ypes
    0.92
    Activations Density 0.090%

    No Known Activations