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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. 3-RES-JB
    11. 5361
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    Explanations

    phrases related to construction or development

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving construction, building, or accumulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jee
    -0.73
    vous
    -0.69
    seek
    -0.68
    edi
    -0.67
     lapse
    -0.65
    beck
    -0.64
    facing
    -0.61
     blot
    -0.61
     cracked
    -0.61
     attempted
    -0.60
    POSITIVE LOGITS
    ATURES
    0.67
    -+-+
    0.67
     habitable
    0.64
     arsen
    0.64
    ende
    0.63
     capacity
    0.63
     Deck
    0.63
     Habit
    0.63
     Babel
    0.62
     Capacity
    0.62
    Activations Density 0.522%

    No Known Activations