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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. 9-RES-JB
    11. 16197
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    Explanations

    phrases related to aspirations or desires becoming reality

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to dreams and aspirations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heastern
    -0.82
    diff
    -0.78
     unfocusedRange
    -0.78
    inarily
    -0.77
     Cosponsors
    -0.75
     Classification
    -0.75
     GOODMAN
    -0.74
    xual
    -0.74
    aque
    -0.73
    greg
    -0.72
    POSITIVE LOGITS
     dreams
    1.42
     dream
    1.24
     fruition
    1.21
     fulfilled
    1.20
    dream
    1.15
     reality
    1.15
     dreaming
    1.14
     dreamed
    1.14
     visions
    1.09
     aspiration
    1.08
    Activations Density 0.767%

    No Known Activations