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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. 0-RES-JB
    11. 12406
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    Explanations

    phrases or words related to size, magnitude, or scope

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss various scales, particularly in production or measurement contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cust
    -0.71
     defending
    -0.68
     Tayyip
    -0.66
     Betty
    -0.66
    aways
    -0.65
    efer
    -0.63
    dream
    -0.63
    ired
    -0.62
    english
    -0.62
    alia
    -0.60
    POSITIVE LOGITS
     scale
    4.20
     Scale
    2.89
     scales
    2.83
    scale
    2.73
    Scale
    2.45
     scaled
    1.89
     scaling
    1.77
     magnitude
    1.64
    cale
    1.53
     scope
    1.42
    Activations Density 0.017%

    No Known Activations