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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. 6-RES-JB
    11. 720
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    Explanations

    specific words related to technological actions and processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to visual representation and manipulation of objects or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     trave
    -0.81
     notor
    -0.78
    etheless
    -0.75
     encount
    -0.70
     Palestin
    -0.70
     thous
    -0.70
     suspic
    -0.68
     citiz
    -0.66
     behavi
    -0.66
    ccording
    -0.65
    POSITIVE LOGITS
    able
    1.53
    ables
    1.41
    ings
    1.39
    ability
    1.36
    ers
    1.06
    ments
    0.97
    overs
    0.96
    backs
    0.95
    away
    0.95
    downs
    0.93
    Activations Density 0.325%

    No Known Activations