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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. 8996
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    INDEX
    Explanations

    mentions of company names

    oai_token-act-pair · gpt-3.5-turbo

    the presence of punctuation marks in the context of a sentence

    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
    nih
    -0.66
     outputs
    -0.64
     experien
    -0.64
    epad
    -0.62
     output
    -0.61
    Recomm
    -0.60
     prest
    -0.59
    worldly
    -0.59
     sugg
    -0.59
     agre
    -0.58
    POSITIVE LOGITS
     meanwhile
    0.88
     Borough
    0.73
     huh
    0.73
     rejoice
    0.69
     Leader
    0.65
     Gentleman
    0.64
     LLC
    0.63
     GOODMAN
    0.60
     Transcript
    0.60
    nee
    0.60
    Activations Density 0.233%

    No Known Activations