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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. 10-RES-JB
    11. 22134
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    Explanations

    adjectives describing qualities like creativity, uniqueness, or effectiveness

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing creativity, complexity, and uniqueness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifles
    -0.88
    stones
    -0.88
    units
    -0.83
    rogens
    -0.81
    uters
    -0.81
    apses
    -0.80
    osponsors
    -0.79
    ainers
    -0.79
    sama
    -0.79
    hops
    -0.79
    POSITIVE LOGITS
     assortment
    1.19
     array
    1.19
     combination
    1.04
     blend
    1.01
     mixture
    0.97
     trio
    0.93
     conco
    0.92
     infographic
    0.91
     series
    0.91
     tale
    0.89
    Activations Density 0.247%

    No Known Activations