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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. 12-RES-JB
    11. 3041
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    Explanations

    information related to legal matters and regulations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    negative phrases related to actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     humour
    -0.77
     toughness
    -0.74
     wonder
    -0.74
     fragments
    -0.72
     merits
    -0.72
     lead
    -0.72
     leads
    -0.72
     chants
    -0.72
     humor
    -0.72
     rear
    -0.71
    POSITIVE LOGITS
    existing
    1.81
    empt
    1.67
    requisite
    1.54
    defined
    1.47
    emin
    1.44
    emption
    1.42
    established
    1.40
    approved
    1.40
    selected
    1.37
    recorded
    1.36
    Activations Density 0.020%

    No Known Activations