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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. 240
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    INDEX
    Explanations

    phrases with the word 'treat'

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with positive experiences or enjoyable instances

    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
    OUT
    -0.68
    BIL
    -0.65
     deleting
    -0.61
     Angola
    -0.60
    BOX
    -0.60
    BO
    -0.58
     Andreas
    -0.57
     Dominion
    -0.57
     insensitive
    -0.57
     Boko
    -0.55
    POSITIVE LOGITS
    htaking
    1.50
    orial
    1.11
    itionally
    1.03
    ises
    1.01
    iful
    1.01
    isers
    1.00
    icing
    0.99
    ivities
    0.99
    ty
    0.99
    icals
    0.98
    Activations Density 0.054%

    No Known Activations