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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. 10-RES-JB
    11. 16445
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    Explanations

    names of specific entities, particularly those related to media, technology, and companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to technology and media

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.62
    umbn
    -0.60
     Mehran
    -0.58
     Guant
    -0.56
    zens
    -0.54
     NRL
    -0.53
    osher
    -0.52
     CONC
    -0.51
    abolic
    -0.50
    ],"
    -0.50
    POSITIVE LOGITS
     therefore
    1.17
     however
    1.15
     meanwhile
    1.13
     assures
    1.09
     agrees
    1.00
     also
    1.00
     solves
    0.99
     disagrees
    0.99
     furthermore
    0.97
     denies
    0.96
    Activations Density 0.636%

    No Known Activations