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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. 9858
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    Explanations

    phrases related to hard work or a strong work ethic

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hard" in various contexts, emphasizing effort and diligence

    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
    ript
    -0.75
    amera
    -0.72
    umbn
    -0.69
    entric
    -0.66
     Wasteland
    -0.65
    ocument
    -0.65
    ARDIS
    -0.65
    reon
    -0.65
     Tot
    -0.64
    uador
    -0.64
    POSITIVE LOGITS
    coded
    1.10
    wired
    1.07
    ball
    1.02
    cover
    0.99
    working
    0.98
    ening
    0.93
    ãĥīãĥ©
    0.90
    ened
    0.88
    ãĥ©
    0.86
    disk
    0.85
    Activations Density 0.041%

    No Known Activations