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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. 0-RES-JB
    11. 13466
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    Explanations

    verbs that describe attributing actions or qualities to some entity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to attribution or assigning causes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kit
    -0.67
     Lunch
    -0.65
    stay
    -0.60
     Meet
    -0.60
    ye
    -0.59
     rot
    -0.59
    Serv
    -0.58
    start
    -0.57
     kits
    -0.57
     lunch
    -0.56
    POSITIVE LOGITS
     attributed
    3.52
     attributable
    1.99
     credited
    1.87
     attribut
    1.82
     blamed
    1.75
     attribution
    1.56
     attribute
    1.50
     traced
    1.47
     cited
    1.41
     asc
    1.33
    Activations Density 0.020%

    No Known Activations