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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. 5238
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    Explanations

    adjectives describing things that are distinguishably dissimilar or atypical

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "different" to highlight varying situations or contexts

    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
    OIL
    -0.69
    RF
    -0.64
    APH
    -0.63
    hers
    -0.61
    âĢł
    -0.60
     erection
    -0.59
    FL
    -0.58
    rollers
    -0.56
    WI
    -0.56
    liner
    -0.56
    POSITIVE LOGITS
    iating
    1.61
    iates
    1.44
    iated
    1.19
    iator
    1.16
    iate
    1.06
    iations
    1.02
    ials
    1.01
    ially
    1.00
    iable
    0.99
    iation
    0.93
    Activations Density 0.036%

    No Known Activations