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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. 8-RES-JB
    11. 8197
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    Explanations

    proper nouns, specifically names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    past participle verbs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.61
     FTA
    -0.57
     Bleach
    -0.56
     sideline
    -0.55
     cliff
    -0.55
    zza
    -0.54
    fitting
    -0.53
     breeze
    -0.53
     blockers
    -0.53
     sails
    -0.53
    POSITIVE LOGITS
    ragon
    1.28
    nesday
    1.18
    dit
    1.15
    irect
    1.13
    ouble
    1.06
    monton
    1.04
    rive
    1.02
    irection
    1.01
    iction
    1.00
    aily
    1.00
    Activations Density 0.094%

    No Known Activations