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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. 9115
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    Explanations

    the name "Miz" and variations of the last name "Cohn" with an emphasis on "ohn"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    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
    NetMessage
    -0.96
    DragonMagazine
    -0.72
     Meier
    -0.71
     pockets
    -0.70
     Melvin
    -0.70
    phia
    -0.69
     choke
    -0.69
     Gillespie
    -0.67
     Augustus
    -0.64
     Sisters
    -0.64
    POSITIVE LOGITS
    rahim
    1.04
    ointed
    0.86
    mark
    0.84
    rentices
    0.81
    hovah
    0.80
    oint
    0.80
    azaki
    0.78
    uno
    0.77
    marks
    0.77
    oji
    0.76
    Activations Density 0.025%

    No Known Activations