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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. 0-RES-JB
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    INDEX
    Explanations

    verbs ending in "-ating", particularly those related to actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    gerunds or present participles related to ongoing actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mountains
    -0.65
     incl
    -0.60
    saf
    -0.60
     lan
    -0.60
     prod
    -0.58
     chances
    -0.58
     wel
    -0.57
     writ
    -0.57
    STAR
    -0.55
     Kent
    -0.54
    POSITIVE LOGITS
    ating
    4.02
    ated
    2.80
    ATING
    2.58
    ates
    2.37
    ators
    2.15
    ate
    2.03
    ation
    1.99
    ations
    1.98
    ator
    1.95
    ATED
    1.91
    Activations Density 0.011%

    No Known Activations