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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. 1-RES-JB
    11. 3119
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "flood"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eers
    -0.81
    ItemTracker
    -0.79
    ħĭ
    -0.77
    ettings
    -0.74
    eer
    -0.72
     ACTIONS
    -0.70
    IFIED
    -0.70
    ãĥīãĥ©ãĤ´ãĥ³
    -0.68
    RAL
    -0.65
     pleas
    -0.64
    POSITIVE LOGITS
    avour
    0.97
    owers
    0.93
    oyd
    0.92
    acies
    0.92
    uffy
    0.90
    ords
    0.85
    orescence
    0.84
    outing
    0.81
    ights
    0.81
    ishable
    0.80
    Activations Density 0.001%

    No Known Activations