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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. 7338
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    INDEX
    Explanations

    verbs followed by the preposition "to", indicating an intention or purpose

    oai_token-act-pair · gpt-3.5-turbo

    expressions of preferences or desires

    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
    river
    -0.69
    Required
    -0.64
     eligibility
    -0.64
    soDeliveryDate
    -0.61
    rieved
    -0.58
    abiding
    -0.57
     impacted
    -0.57
     Settlement
    -0.56
     effected
    -0.56
    ratulations
    -0.56
    POSITIVE LOGITS
     remind
    0.99
     hear
    0.89
     pretend
    0.89
     tease
    0.86
     speculate
    0.84
     keep
    0.82
     think
    0.82
     circulate
    0.81
     cite
    0.81
     borrow
    0.80
    Activations Density 0.044%

    No Known Activations