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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. 892
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    Explanations

    phrases related to actions or behaviors with an impact or consequence

    oai_token-act-pair · gpt-3.5-turbo

    gerunds or present participles that indicate actions related to rejection, denial, or support

    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
    so
    -0.74
    eria
    -0.72
    carry
    -0.68
    see
    -0.67
    dt
    -0.66
    deal
    -0.65
    ensis
    -0.64
    mob
    -0.62
    bul
    -0.60
    si
    -0.60
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    0.88
    redients
    0.87
     oneself
    0.83
    ADRA
    0.82
     INTO
    0.68
    ASED
    0.65
     guiActive
    0.64
     overboard
    0.62
     yourself
    0.60
    INTON
    0.60
    Activations Density 0.382%

    No Known Activations