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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. 1-RES-JB
    11. 22866
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    Explanations

    phrases related to conditions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to conditional and unconditional actions or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    azines
    -0.80
    natureconservancy
    -0.80
    gun
    -0.79
    arks
    -0.78
     Ange
    -0.77
    geist
    -0.76
    Desk
    -0.75
    ICH
    -0.73
    idis
    -0.72
    thy
    -0.72
    POSITIVE LOGITS
     uncond
    1.33
     unconditional
    1.25
     conditional
    1.14
     confir
    1.04
    etheless
    1.04
     conditioned
    0.92
     induction
    0.88
     conditioning
    0.84
    itionally
    0.83
     pard
    0.83
    Activations Density 0.007%

    No Known Activations