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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 23577
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    INDEX
    Explanations

    mentions of specific names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

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

    No Comments

    Negative Logits
    inations
    -0.77
    inates
    -0.76
    imar
    -0.75
    selage
    -0.71
    ients
    -0.71
    zers
    -0.68
    achusetts
    -0.67
    inate
    -0.66
    inal
    -0.66
    ination
    -0.65
    POSITIVE LOGITS
    forth
    0.87
    croft
    0.83
    algia
    0.74
    xual
    0.72
     Malfoy
    0.72
    osponsors
    0.72
    gpu
    0.71
    mallow
    0.70
    etheless
    0.70
    isSpecialOrderable
    0.69
    Activations Density 0.040%

    No Known Activations