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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. 11-RES-JB
    11. 3559
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    Explanations

    instances of reports or reporting of various events and incidents

    oai_token-act-pair · gpt-3.5-turbo

    instances of reported events or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abus
    -0.80
    ortium
    -0.78
     ILCS
    -0.73
    phabet
    -0.72
    osate
    -0.71
    atron
    -0.69
    arton
    -0.69
    err
    -0.67
    schild
    -0.67
    wrap
    -0.66
    POSITIVE LOGITS
     seeing
    1.35
     receiving
    1.32
     experiencing
    1.30
     encountering
    1.25
     feeling
    1.20
     having
    1.16
     finding
    1.16
     witnessing
    1.14
     noticing
    1.14
     smelling
    1.07
    Activations Density 0.079%

    No Known Activations