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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. 7955
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    Explanations

    phrases relating to experiences, particularly focusing on past experiences and hypothetical situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe experiences or states of being

    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
    stration
    -0.63
    dding
    -0.62
    mobile
    -0.62
    idon
    -0.61
     Ike
    -0.60
    flex
    -0.60
    izations
    -0.60
    ITIES
    -0.59
    ighton
    -0.59
    ivable
    -0.59
    POSITIVE LOGITS
     entails
    0.88
     boils
    0.85
     transpired
    0.83
     rains
    0.78
     beh
    0.78
     hurts
    0.76
    chy
    0.76
     feels
    0.76
     takes
    0.76
     pains
    0.75
    Activations Density 0.082%

    No Known Activations