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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. 21541
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    Explanations

    descriptive adjectives related to emotions or qualities

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and adverbs that convey a sense of significance or intensity

    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
    ĸļ
    -1.05
    ICLE
    -0.88
    CVE
    -0.69
     TAMADRA
    -0.69
    SPONSORED
    -0.67
     WATCHED
    -0.66
     Debor
    -0.66
    %]
    -0.66
     Happiness
    -0.65
    dq
    -0.65
    POSITIVE LOGITS
    worldly
    0.84
    legged
    0.76
    igans
    0.75
    uitous
    0.74
     semblance
    0.71
     shenan
    0.71
     tricks
    0.70
     surprises
    0.69
     shenanigans
    0.68
     wondering
    0.67
    Activations Density 0.202%

    No Known Activations