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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. 0-RES-JB
    11. 16995
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    Explanations

    words related to accurately locating or identifying something

    oai_token-act-pair · gpt-3.5-turbo

    words associated with identifying or locating specific elements or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ativity
    -0.75
    OVA
    -0.75
    udeb
    -0.71
     srfAttach
    -0.70
    à¥
    -0.69
     Reverend
    -0.67
     Reader
    -0.67
    nut
    -0.65
    andom
    -0.63
     Idle
    -0.62
    POSITIVE LOGITS
     pinpoint
    2.85
     hail
    1.79
    eme
    1.31
     fireball
    1.17
    ordon
    1.06
     swoop
    1.00
     fastball
    1.00
     blister
    1.00
     chalk
    0.96
    hou
    0.90
    Activations Density 0.055%

    No Known Activations