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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. 7-RES-JB
    11. 2663
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    Explanations

    words related to technological concepts, with a focus on specific names or terms

    oai_token-act-pair · gpt-3.5-turbo

    vowel-rich words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     coord
    -0.65
    Reloaded
    -0.64
    milo
    -0.64
     alloc
    -0.63
    SELECT
    -0.61
    iasm
    -0.60
     srfAttach
    -0.60
     tremend
    -0.59
    "},"
    -0.59
    ichick
    -0.58
    POSITIVE LOGITS
    ghan
    1.39
    hei
    1.06
    lder
    1.03
    pport
    0.99
    veland
    0.95
    vern
    0.93
     Mei
    0.93
    ÃŁ
    0.92
    wen
    0.89
    utenant
    0.88
    Activations Density 0.097%

    No Known Activations