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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. 10840
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    Explanations

    phrases related to assistance or help provided by someone or something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating assistance or support

    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
    Delivery
    -0.73
    deg
    -0.72
    ccording
    -0.70
    isms
    -0.70
    inqu
    -0.68
    ased
    -0.67
    quartered
    -0.65
     preval
    -0.64
    izations
    -0.64
    ival
    -0.64
    POSITIVE LOGITS
    olkien
    0.64
     Gareth
    0.63
     Qi
    0.62
    raphics
    0.60
     Nielsen
    0.60
     Guy
    0.60
     hindsight
    0.60
    Graphics
    0.59
     Vatican
    0.59
     Tar
    0.59
    Activations Density 0.106%

    No Known Activations