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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. 6-RES-JB
    11. 22658
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    INDEX
    Explanations

    phrases related to strong desires or urges

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire and motivation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    falls
    -0.69
    soDeliveryDate
    -0.69
    listed
    -0.67
     Falls
    -0.65
    requires
    -0.65
    anchester
    -0.65
     flagged
    -0.63
    grounds
    -0.62
    minus
    -0.62
    stadt
    -0.62
    POSITIVE LOGITS
     maximize
    1.15
     conserve
    1.14
     pursue
    1.14
     emulate
    1.13
     innovate
    1.11
     achieve
    1.06
     engage
    1.06
     undertake
    1.04
     improve
    1.03
     indulge
    1.02
    Activations Density 0.172%

    No Known Activations