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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. 14208
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    INDEX
    Explanations

    instances of numbers expressing a span of time

    oai_token-act-pair · gpt-3.5-turbo

    quantifications related to time periods described as "two" or "three" within contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    yles
    -0.78
     scenery
    -0.69
     embassies
    -0.68
     Athletics
    -0.64
     surroundings
    -0.61
     discoveries
    -0.59
     Activities
    -0.59
     Indust
    -0.58
     NCT
    -0.58
    assies
    -0.58
    POSITIVE LOGITS
    fold
    1.12
    teenth
    0.96
    quel
    0.94
    peat
    0.94
    -
    0.91
     dimensional
    0.90
    âĢij
    0.90
    dimensional
    0.87
    bedroom
    0.79
    acious
    0.79
    Activations Density 0.078%

    No Known Activations