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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. 14118
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    Explanations

    phrases related to the lack of resources or abilities

    oai_token-act-pair · gpt-3.5-turbo

    references to financial resources and capabilities

    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
    ection
    -0.73
     Topic
    -0.69
    mast
    -0.64
    viol
    -0.61
    jay
    -0.59
    iff
    -0.59
    IRE
    -0.59
    notations
    -0.59
     Goddess
    -0.59
    onymous
    -0.58
    POSITIVE LOGITS
     spare
    0.97
     capacity
    0.86
     manpower
    0.86
     sufficient
    0.82
     enough
    0.80
     requisite
    0.79
     opportunity
    0.74
    Ö
    0.73
     resources
    0.72
     maturity
    0.72
    Activations Density 0.364%

    No Known Activations