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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. 4-RES-JB
    11. 2826
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    Explanations

    precise references to specific entities or topics within a text

    oai_token-act-pair · gpt-3.5-turbo

    the word "to" in various contexts and its associations

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

    No Comments

    Negative Logits
     depended
    -0.72
     resil
    -0.66
     competed
    -0.65
     vying
    -0.65
     relies
    -0.64
     dilig
    -0.64
     afloat
    -0.64
     sucked
    -0.63
     weighed
    -0.63
     reliant
    -0.62
    POSITIVE LOGITS
    ript
    0.76
    othy
    0.71
     Topic
    0.68
     Persons
    0.68
    Ô
    0.67
    ãĤ´ãĥ³
    0.67
    obin
    0.66
     Bullets
    0.66
    ting
    0.65
     phrases
    0.63
    Activations Density 0.072%

    No Known Activations