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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. 3871
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    Explanations

    phrases related to achieving a specific outcome or goal

    oai_token-act-pair · gpt-3.5-turbo

    the infinitive form of verbs indicating actions or intentions

    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
     hospitality
    -0.68
     employer
    -0.66
     heading
    -0.66
     reactions
    -0.62
     computing
    -0.62
     Required
    -0.60
     swirling
    -0.59
     phased
    -0.59
     discretionary
    -0.59
    quickShipAvailable
    -0.59
    POSITIVE LOGITS
    pless
    1.23
    wered
    1.03
     commemorate
    1.03
     promote
    1.03
    asters
    1.03
    lling
    1.01
     conserve
    1.01
     celebrate
    1.01
     fulfill
    0.99
    othy
    0.98
    Activations Density 0.324%

    No Known Activations