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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. 16002
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    INDEX
    Explanations

    names of individuals or entities mentioned in the document

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "names."

    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
    OPLE
    -0.76
    yrinth
    -0.74
     Bed
    -0.71
    irth
    -0.71
    UGE
    -0.68
     Forestry
    -0.65
     Smy
    -0.65
    IENT
    -0.62
    armac
    -0.62
    UTERS
    -0.61
    POSITIVE LOGITS
    paces
    1.73
    pace
    1.26
    plates
    1.15
    paced
    1.07
    hips
    1.06
    mith
    1.02
     names
    0.97
    akes
    0.96
    ames
    0.94
     aliases
    0.94
    Activations Density 0.017%

    No Known Activations