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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. 1-RES-JB
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    Explanations

    the abbreviation "MI" along with an associated number

    oai_token-act-pair · gpt-3.5-turbo

    the abbreviation "MI" 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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Merit
    -0.78
    ional
    -0.78
    comes
    -0.77
    holders
    -0.74
    lich
    -0.73
    ãĥ¬
    -0.71
     Ragnarok
    -0.70
    holder
    -0.70
    integer
    -0.68
    istical
    -0.68
    POSITIVE LOGITS
     MI
    1.16
    AMI
    0.97
    PS
    0.95
    HAEL
    0.91
    ovember
    0.85
    MI
    0.82
    KE
    0.80
    OSH
    0.76
    uppet
    0.74
     stalk
    0.74
    Activations Density 0.002%

    No Known Activations