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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. 10-RES-JB
    11. 23248
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    Explanations

    specific sequences of letters in text

    oai_token-act-pair · gpt-3.5-turbo

    elements related to types of psychological disorders or symptoms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Collider
    -0.67
    Magikarp
    -0.65
    çİĭ
    -0.63
     Byrd
    -0.62
     innocence
    -0.62
     Barron
    -0.61
     Haram
    -0.60
    eele
    -0.60
    Reviewer
    -0.59
    çĦ
    -0.58
    POSITIVE LOGITS
    abus
    0.99
    athetic
    0.93
    esthesia
    0.84
    hetic
    0.81
    neys
    0.81
    achus
    0.76
    rical
    0.75
    enta
    0.74
    Ü
    0.72
    kees
    0.71
    Activations Density 0.063%

    No Known Activations