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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. 1006
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    Explanations

    words related to academic institutions and specific college names

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to academic institutions and their various programs or departments

    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
    etsk
    -0.90
    achev
    -0.78
    Downloadha
    -0.75
    atsu
    -0.73
    owitz
    -0.71
    ishi
    -0.69
    yip
    -0.69
    XM
    -0.68
    chev
    -0.68
    ĸļ
    -0.68
    POSITIVE LOGITS
    ruary
    0.84
    estine
    0.77
    RIC
    0.72
     Playoff
    0.72
     Forestry
    0.68
    ROM
    0.67
    ategory
    0.66
    ulhu
    0.65
     Entered
    0.65
    Cola
    0.64
    Activations Density 0.125%

    No Known Activations