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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. 4-RES-JB
    11. 9360
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    Explanations

    phrases related to different opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating beliefs or actions of groups or individuals

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

    No Comments

    Negative Logits
     Arrow
    -0.67
     guiActiveUnfocused
    -0.65
    plementation
    -0.62
    imation
    -0.62
     Manufacturer
    -0.61
    hern
    -0.61
    iquette
    -0.59
    antics
    -0.58
    ricks
    -0.57
    Carter
    -0.56
    POSITIVE LOGITS
    pires
    0.83
     fitt
    0.68
    pired
    0.66
    wolves
    0.65
     themselves
    0.62
     converts
    0.61
     filib
    0.61
    ilyn
    0.60
    aciously
    0.58
     misfortune
    0.57
    Activations Density 0.463%

    No Known Activations