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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. 8-RES-JB
    11. 14974
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    Explanations

    adjectives ending in 's' and 'es'

    oai_token-act-pair · gpt-3.5-turbo

    nouns and other terms related to specific concepts or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Qual
    -0.67
    KNOWN
    -0.66
    CHAR
    -0.62
    ãĥį
    -0.61
     practition
    -0.60
     mosqu
    -0.60
    Mech
    -0.59
     Accountability
    -0.59
     passer
    -0.59
    Austral
    -0.59
    POSITIVE LOGITS
    cale
    1.24
    mith
    1.21
    poons
    1.19
    pring
    1.18
    creen
    1.17
    hift
    1.14
    heet
    1.11
    cript
    1.11
    paces
    1.09
    poon
    1.08
    Activations Density 0.415%

    No Known Activations