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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. 8913
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    INDEX
    Explanations

    predictions or expectations about future events

    oai_token-act-pair · gpt-3.5-turbo

    patterns related to predictions or forecasts about future events

    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
    displayText
    -0.68
     denotes
    -0.65
     analogy
    -0.59
     reminds
    -0.59
     anecdote
    -0.57
     dich
    -0.56
     Latest
    -0.55
    DX
    -0.55
    UFF
    -0.55
     assumes
    -0.55
    POSITIVE LOGITS
     someday
    1.21
     sooner
    0.87
     anytime
    0.86
     tomorrow
    0.81
     wiser
    0.69
     hereafter
    0.69
    atever
    0.69
     fruition
    0.66
     future
    0.63
    peat
    0.63
    Activations Density 1.262%

    No Known Activations