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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. 8-RES-JB
    11. 8173
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    Explanations

    phrases or terms related to preparing or forewarning

    oai_token-act-pair · gpt-3.5-turbo

    prefixes indicating prior or previous conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥīãĥ©ãĤ´ãĥ³
    -0.81
    è¦ļéĨĴ
    -0.79
    loo
    -0.77
    oice
    -0.73
    ãĤ¼ãĤ¦ãĤ¹
    -0.71
     GOODMAN
    -0.69
    IBLE
    -0.69
    BuyableInstoreAndOnline
    -0.67
    adia
    -0.66
    itational
    -0.66
    POSITIVE LOGITS
    cision
    1.27
    cious
    1.23
    pared
    1.22
    cise
    1.21
    requisites
    1.17
    requisite
    1.12
    ferred
    1.10
    hens
    1.09
    ference
    1.07
    empt
    1.05
    Activations Density 0.020%

    No Known Activations