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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. 1-RES-JB
    11. 22373
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    Explanations

    terms related to being descriptive and oriented towards a particular subject matter or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a focus on orientation or alignment with specific criteria or standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ading
    -0.75
    aders
    -0.69
    arthy
    -0.69
    Chance
    -0.68
    alter
    -0.68
    ft
    -0.67
    ESS
    -0.67
    ãģ®éŃĶ
    -0.66
    birth
    -0.66
    ades
    -0.65
    POSITIVE LOGITS
     oriented
    1.13
    eering
    1.04
    oriented
    0.97
    emort
    0.96
    xual
    0.92
    eers
    0.91
    atives
    0.88
     minded
    0.88
    ¿½
    0.87
     è£ıè
    0.87
    Activations Density 0.010%

    No Known Activations