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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. 3-RES-JB
    11. 5
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    INDEX
    Explanations

    phrases related to specific locations or events

    oai_token-act-pair · gpt-3.5-turbo

    references to locations or geographical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbnails
    -0.69
    apego
    -0.67
    uristic
    -0.62
    HCR
    -0.60
    arcity
    -0.59
    orians
    -0.56
     VIDEOS
    -0.56
     inhibitors
    -0.55
    avorite
    -0.55
    rogens
    -0.55
    POSITIVE LOGITS
     guise
    0.79
     manner
    0.73
     mode
    0.73
     vicinity
    0.72
     context
    0.69
     fashion
    0.68
     contexts
    0.65
     vein
    0.64
     circles
    0.63
     nutshell
    0.60
    Activations Density 2.345%

    No Known Activations