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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. 3-RES-JB
    11. 23129
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    Explanations

    phrases related to making important decisions or actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to decisive actions and pivotal moments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erve
    -0.85
    ramid
    -0.84
    rug
    -0.81
    mberg
    -0.80
    orph
    -0.78
    opathy
    -0.77
    ©¶æ
    -0.77
    guyen
    -0.77
    ilk
    -0.74
    velop
    -0.74
    POSITIVE LOGITS
     victory
    0.91
     decisive
    0.91
     defeat
    0.89
     blow
    0.82
    éĹĺ
    0.80
     victories
    0.80
     defeats
    0.80
     swing
    0.78
     showdown
    0.76
     battles
    0.75
    Activations Density 0.012%

    No Known Activations