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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. 6-RES-JB
    11. 15347
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.77
    achus
    -0.74
     ILCS
    -0.73
    ADRA
    -0.70
    atform
    -0.69
    catentry
    -0.66
    regor
    -0.63
    abase
    -0.63
     showc
    -0.59
     Toggle
    -0.59
    POSITIVE LOGITS
    hani
    0.73
    orius
    0.67
     heights
    0.67
    idi
    0.66
    ħĭ
    0.66
    ody
    0.64
    acha
    0.64
    mentioned
    0.64
    dos
    0.62
    idis
    0.62
    Activations Density 0.100%

    No Known Activations