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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. 8130
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    Explanations

    handheld devices and activities related to texting

    oai_token-act-pair · gpt-3.5-turbo

    references to handheld devices and texting

    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
    elin
    -0.80
     Aure
    -0.80
    edar
    -0.75
    jan
    -0.75
    arer
    -0.72
     Grac
    -0.72
    rin
    -0.72
    ön
    -0.71
    arity
    -0.69
    sha
    -0.69
    POSITIVE LOGITS
     handheld
    3.45
     texting
    1.20
     LCD
    1.10
     wearable
    1.09
     touchscreen
    1.05
     tabletop
    1.03
     tablet
    0.96
     DSL
    0.93
     tablets
    0.91
     smartphones
    0.91
    Activations Density 0.057%

    No Known Activations