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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. 14343
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    Explanations

    words related to cutting or dividing

    oai_token-act-pair · gpt-3.5-turbo

    words related to seeing or vision

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    initely
    -0.68
     impulse
    -0.66
    INGTON
    -0.66
     admitting
    -0.63
    SHIP
    -0.63
     Banner
    -0.61
    HAEL
    -0.61
     hoops
    -0.60
    sonian
    -0.59
    ģĸ
    -0.59
    POSITIVE LOGITS
    perate
    1.13
    eps
    1.11
    xt
    1.03
    pt
    1.01
    xton
    0.98
    ldom
    0.98
    ptic
    0.98
    clusion
    0.98
    gments
    0.97
    eding
    0.97
    Activations Density 0.018%

    No Known Activations