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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. 6-RES-JB
    11. 7132
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    Explanations

    proper nouns and titles

    oai_token-act-pair · gpt-3.5-turbo

    references to acts, literature, and funding across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     habitat
    -0.72
     heel
    -0.68
    UGH
    -0.64
     scratching
    -0.63
    âĺħâĺħ
    -0.60
     straw
    -0.60
    zzle
    -0.59
    HH
    -0.59
    OWN
    -0.59
     touch
    -0.58
    POSITIVE LOGITS
    alities
    1.14
    amental
    1.10
    ions
    1.07
    alis
    1.07
    al
    1.06
    ional
    1.06
    atile
    1.05
    orial
    1.04
    ative
    1.02
    oral
    1.02
    Activations Density 0.179%

    No Known Activations