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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    words starting with 'en' and followed by a word ending in 'ing'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the prefix "en-" in words

    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
    ij士
    -0.71
    ocene
    -0.66
     Palmer
    -0.63
     reconc
    -0.59
     Pyth
    -0.59
     overdue
    -0.59
     Pell
    -0.58
    TPPStreamerBot
    -0.58
    ageddon
    -0.57
    DragonMagazine
    -0.57
    POSITIVE LOGITS
    viron
    1.40
    igma
    1.19
    forcer
    1.17
     masse
    1.15
    unci
    1.10
    amel
    1.10
    cyclop
    1.09
    unciation
    1.08
    semb
    1.06
    quire
    1.05
    Activations Density 0.013%

    No Known Activations