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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. 13925
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    Explanations

    instances of people consuming specific beverages

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and their usage within phrases

    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
    RAG
    -0.79
    ional
    -0.76
    PI
    -0.69
    PO
    -0.69
    ENCE
    -0.68
    LLOW
    -0.67
    verages
    -0.67
    Auth
    -0.65
    Beg
    -0.63
    ICA
    -0.63
    POSITIVE LOGITS
     disguise
    0.80
    veyard
    0.70
     veins
    0.70
     clenched
    0.69
    pload
    0.68
     breakfast
    0.68
     imitation
    0.65
     bed
    0.65
    acha
    0.64
     washing
    0.64
    Activations Density 0.436%

    No Known Activations