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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. 9775
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    Explanations

    words related to legislation or legal actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "eg" in various contexts

    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
    ãĥīãĥ©ãĤ´ãĥ³
    -0.71
     Tsu
    -0.65
    LOAD
    -0.62
    thia
    -0.62
    DERR
    -0.59
    ãĥĵ
    -0.58
     Barber
    -0.58
    ãĥ´ãĤ¡
    -0.58
     Carmen
    -0.56
    UNCH
    -0.56
    POSITIVE LOGITS
    raphics
    1.12
    asus
    1.10
    roup
    1.00
    lasses
    0.96
    roups
    0.96
    ardless
    0.93
    rowth
    0.92
    hetto
    0.91
    entric
    0.91
    raphic
    0.91
    Activations Density 0.021%

    No Known Activations