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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. 5021
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    Explanations

    verbs related to learning or acquiring new skills

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of learning and the actions associated with it

    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
    lights
    -0.74
    leased
    -0.67
    termination
    -0.67
    quished
    -0.67
    isite
    -0.66
    listed
    -0.64
     Featured
    -0.64
    prem
    -0.64
    uin
    -0.63
     Coff
    -0.63
    POSITIVE LOGITS
     differentiate
    1.11
     cope
    1.11
     behave
    1.07
     wrestle
    1.07
     recognize
    1.02
     manipulate
    1.00
     tolerate
    0.99
     identify
    0.97
     imitate
    0.97
     apply
    0.97
    Activations Density 0.073%

    No Known Activations