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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. 11560
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    Explanations

    phrases related to the intended purpose or function of objects or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "purpose."

    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
     weeds
    -0.71
    etts
    -0.69
     Wolves
    -0.66
     Leopard
    -0.66
    thumbnails
    -0.65
     Thumbnails
    -0.65
     Polo
    -0.64
     Ashes
    -0.63
     Oaks
    -0.62
     Temper
    -0.62
    POSITIVE LOGITS
    ful
    1.26
    lessly
    1.04
    ality
    0.98
    lessness
    0.98
    fully
    0.98
    tenance
    0.95
    fulness
    0.94
    eous
    0.88
    FUL
    0.87
    teness
    0.85
    Activations Density 0.023%

    No Known Activations