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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. 9-RES-JB
    11. 3562
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    Explanations

    adjectives and verbs related to approval or validation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to admiration or positive assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carbuncle
    -0.70
     Caribbean
    -0.65
    uckle
    -0.65
    Jr
    -0.64
    FUL
    -0.64
     Roses
    -0.64
     Strait
    -0.63
    GoldMagikarp
    -0.63
     Cheese
    -0.63
     Remem
    -0.62
    POSITIVE LOGITS
     hoc
    1.30
    roit
    1.26
    elaide
    1.25
    ieu
    1.23
    hesion
    1.21
    obe
    1.19
    idas
    1.19
    rift
    1.15
    verts
    1.14
    verb
    1.11
    Activations Density 0.020%

    No Known Activations