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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. 9-RES-JB
    6. 2807
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    Explanations

    emoticons or symbols representing diverse actions or states of being

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MAP
    -0.81
     ABE
    -0.76
     Frag
    -0.71
     fragmentation
    -0.70
     characterization
    -0.66
     Tsu
    -0.65
     restrictive
    -0.64
     incendiary
    -0.64
     fodder
    -0.63
     artif
    -0.63
    POSITIVE LOGITS
    ve
    1.19
    know
    1.16
    have
    1.13
    agree
    1.12
    sure
    1.12
    never
    1.12
    own
    1.10
    still
    1.07
    bring
    1.05
    shall
    1.03
    Activations Density 0.142%

    No Known Activations