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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. 0-RES-JB
    11. 14892
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    Explanations

    words related to urgent needs or requirements

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to necessity and essential needs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cker
    -0.74
    ken
    -0.71
    bats
    -0.68
    thal
    -0.65
    ell
    -0.65
    eta
    -0.63
    arts
    -0.63
    ells
    -0.61
    edited
    -0.60
    weet
    -0.60
    POSITIVE LOGITS
     necessity
    3.93
    necess
    1.88
     impossibility
    1.87
     necessities
    1.64
     inev
    1.52
     imperative
    1.42
     compulsion
    1.40
    necessary
    1.39
     urgency
    1.36
     requirement
    1.27
    Activations Density 0.017%

    No Known Activations