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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. 11-RES-JB
    11. 995
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    Explanations

    phrases related to putting effort or time into something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of effort and emotional investment in activities or creations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Klux
    -0.75
    acists
    -0.75
    obyl
    -0.74
    ashtra
    -0.69
    uria
    -0.69
    reditary
    -0.66
    minster
    -0.66
    ancial
    -0.65
    erity
    -0.63
    iannopoulos
    -0.63
    POSITIVE LOGITS
     doing
    1.29
     preparing
    1.25
     designing
    1.24
     completing
    1.23
     creating
    1.19
     interacting
    1.19
     making
    1.18
     arranging
    1.18
     organising
    1.18
     constructing
    1.17
    Activations Density 0.303%

    No Known Activations