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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. 23364
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    Explanations

    time-related events or actions

    oai_token-act-pair · gpt-3.5-turbo

    the word "after" in various contexts

    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
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.68
    NRS
    -0.68
    aez
    -0.65
    isons
    -0.60
    ctive
    -0.59
    offs
    -0.59
    amount
    -0.58
    oys
    -0.57
    odiac
    -0.57
    eto
    -0.57
    POSITIVE LOGITS
    noon
    0.95
    market
    0.91
     finishing
    0.85
     completing
    0.79
     transitioning
    0.79
    wards
    0.79
     acquiring
    0.78
     purchasing
    0.78
     undergoing
    0.77
     inspecting
    0.76
    Activations Density 0.084%

    No Known Activations