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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20994
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    INDEX
    Explanations

    phrases related to avoiding or preventing negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    verbal forms related to overcoming challenges or difficulties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cdn
    -0.65
     constitu
    -0.63
     narrated
    -0.63
     UNIVERS
    -0.58
     lag
    -0.58
    Exper
    -0.57
     subsequ
    -0.57
     bounded
    -0.55
     craving
    -0.55
    ancies
    -0.54
    POSITIVE LOGITS
    coat
    0.90
    ·
    0.84
    ¸
    0.84
    otom
    0.82
    otomy
    0.81
    ow
    0.80
    stock
    0.80
    Ń·
    0.78
    ©¶æ
    0.77
    ħ
    0.76
    Activations Density 0.176%

    No Known Activations