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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. 4-RES-JB
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    Explanations

    instances of words related to the concept of creation or initiating ideas

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of creation or origin

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

    No Comments

    Negative Logits
    upon
    -0.77
    anwhile
    -0.69
    hatt
    -0.65
     patrolling
    -0.63
     Cheong
    -0.63
    ushi
    -0.62
    olulu
    -0.61
     chopping
    -0.61
    ammy
    -0.60
    iano
    -0.60
    POSITIVE LOGITS
     conceived
    0.83
    smanship
    0.81
    agram
    0.80
     Animation
    0.78
    ãĥĩãĤ£
    0.77
     Balloon
    0.76
     Bout
    0.75
    ILY
    0.74
     ART
    0.74
    ceived
    0.73
    Activations Density 0.016%

    No Known Activations