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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. 6808
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    Explanations

    the word 'a'

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing agreement or positive affirmations

    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
    Edit
    -0.93
    Events
    -0.75
    bots
    -0.69
     ensu
    -0.69
    AIDS
    -0.69
    items
    -0.69
     arrangements
    -0.68
     Izan
    -0.68
    edit
    -0.68
    events
    -0.67
    POSITIVE LOGITS
     lot
    1.02
     huge
    1.02
     reminder
    1.01
     bit
    0.98
     prerequisite
    0.95
    versive
    0.94
     fascinating
    0.94
     constant
    0.93
     simple
    0.92
     worthwhile
    0.91
    Activations Density 0.445%

    No Known Activations