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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. 6-RES-JB
    11. 449
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    Explanations

    words related to sewing or reinforced materials

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "see."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    initely
    -0.71
    ashtra
    -0.70
    INGTON
    -0.70
     hoops
    -0.69
    SHIP
    -0.68
    enhagen
    -0.65
    £ı
    -0.63
    etheless
    -0.63
    acters
    -0.62
    ohydrate
    -0.62
    POSITIVE LOGITS
    perate
    1.10
    eps
    1.05
    clusion
    1.01
    vel
    0.96
    eker
    0.96
    vent
    0.94
    rend
    0.94
    xt
    0.94
    ve
    0.93
    pt
    0.92
    Activations Density 0.014%

    No Known Activations