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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. 7-RES-JB
    11. 17987
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    Explanations

    actions that have a significant impact or effect

    oai_token-act-pair · gpt-3.5-turbo

    verbs and phrases related to risk and consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocene
    -0.70
    ãĥ¼ãĥ³
    -0.70
     Oo
    -0.70
    tick
    -0.69
    DragonMagazine
    -0.68
    :\
    -0.66
    oni
    -0.65
    adder
    -0.65
    noon
    -0.63
    Ì
    -0.63
    POSITIVE LOGITS
     them
    0.74
     accordingly
    0.65
     alike
    0.65
     untold
    0.63
     rehabilitation
    0.62
     communities
    0.62
    åĬ
    0.61
     countless
    0.61
     contributors
    0.60
     caregivers
    0.58
    Activations Density 0.313%

    No Known Activations