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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. 8-RES-JB
    11. 7197
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    Explanations

    phrases related to understanding and grasping concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating understanding or comprehension of a concept

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     contracted
    -0.59
    lishes
    -0.54
     Entry
    -0.53
    iety
    -0.51
    ushi
    -0.50
    entimes
    -0.50
    SPONSORED
    -0.50
    adobe
    -0.50
    iscopal
    -0.50
     fundament
    -0.50
    POSITIVE LOGITS
    ðŁij
    0.73
    !:
    0.71
    !.
    0.67
     ;)
    0.66
    !!
    0.65
    !!!
    0.64
     understatement
    0.64
    !
    0.63
    !!!!!
    0.63
    ////
    0.63
    Activations Density 0.547%

    No Known Activations