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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. 2-RES-JB
    11. 18959
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    Explanations

    plans or intentions described in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to planning and intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.74
    attering
    -0.65
     independents
    -0.65
    leaning
    -0.62
    ifle
    -0.62
     Skydragon
    -0.61
    wrapper
    -0.60
    yards
    -0.59
    omez
    -0.58
    istrate
    -0.58
    POSITIVE LOGITS
     Plans
    0.81
    escape
    0.72
    acci
    0.71
    isphere
    0.71
    ¶
    0.70
    ters
    0.70
    plan
    0.69
    paren
    0.65
    iago
    0.65
     plans
    0.65
    Activations Density 0.040%

    No Known Activations