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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. 3-RES-JB
    11. 8750
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    Explanations

    phrases indicating the appearance or observation of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating observations or claims about situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mage
    -0.65
    çĦ
    -0.65
    umbn
    -0.62
    isode
    -0.60
    appings
    -0.59
    picture
    -0.59
    å¤
    -0.59
    åº
    -0.58
    otos
    -0.57
    onding
    -0.56
    POSITIVE LOGITS
    imaru
    0.73
     raining
    0.70
    ibaba
    0.68
     instinct
    0.68
     easy
    0.64
     senseless
    0.64
    eln
    0.64
     easier
    0.63
     easiest
    0.61
     intim
    0.61
    Activations Density 0.572%

    No Known Activations