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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. 2-RES-JB
    11. 18441
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    Explanations

    words related to large amounts of movement or change

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the movement or arrival of large groups of people or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izons
    -0.74
    ovember
    -0.73
    MET
    -0.72
    aple
    -0.71
    */(
    -0.70
    chn
    -0.69
    Ingredients
    -0.66
    verbs
    -0.65
     Atomic
    -0.64
    onyms
    -0.63
    POSITIVE LOGITS
     influx
    1.04
    eson
    0.84
     flooding
    0.83
     arrivals
    0.83
    uating
    0.79
    ãĥ¼ãĥĨãĤ£
    0.79
    olon
    0.78
     flows
    0.77
     infl
    0.76
     glut
    0.75
    Activations Density 0.009%

    No Known Activations