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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. 7-RES-JB
    11. 8801
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    INDEX
    Explanations

    proper nouns or titles enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quoted titles of films or shows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     batter
    -0.80
     grasp
    -0.76
     matter
    -0.76
     care
    -0.76
     wield
    -0.76
     grips
    -0.75
     intact
    -0.75
     prag
    -0.73
     seasoned
    -0.72
     enrol
    -0.72
    POSITIVE LOGITS
    Big
    1.29
    Morning
    1.28
    Eat
    1.27
    Operation
    1.25
    Bad
    1.23
    Star
    1.22
    Better
    1.20
    Friends
    1.19
    Ultimate
    1.19
    Alice
    1.18
    Activations Density 0.114%

    No Known Activations