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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. 11160
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    Explanations

    emotional or impactful words related to physical actions or events

    oai_token-act-pair · gpt-3.5-turbo

    nouns associated with danger and emotional 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
    ctors
    -0.73
    Specific
    -0.72
    Relations
    -0.70
    atalie
    -0.69
    Myth
    -0.67
    Living
    -0.67
    VIEW
    -0.66
    ISA
    -0.66
    States
    -0.66
    Sit
    -0.66
    POSITIVE LOGITS
    mith
    1.44
    hift
    1.37
    creen
    1.29
    heet
    1.24
    hooting
    1.21
    peed
    1.21
    poons
    1.18
    pots
    1.10
    cale
    1.08
    hips
    1.07
    Activations Density 0.276%

    No Known Activations