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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. 10-RES-JB
    11. 1023
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    Explanations

    names ending with 'ov'

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Foot
    -0.89
     HEAD
    -0.84
     NYT
    -0.83
     princ
    -0.79
     Brist
    -0.79
     Tul
    -0.76
     Teg
    -0.76
     hail
    -0.74
    AM
    -0.73
     Hair
    -0.73
    POSITIVE LOGITS
    ov
    1.57
    rov
    1.24
    ev
    1.22
    kov
    1.13
    OV
    1.12
    lov
    1.09
    ova
    1.04
    ovi
    1.04
    arov
    1.03
    ove
    1.00
    Activations Density 0.171%

    No Known Activations