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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. 5735
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    Explanations

    phrases or sentences emphasizing the presence or absence of certain qualities or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote dependencies or prerequisites

    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
    mun
    -0.88
    oola
    -0.86
    çĶ°
    -0.82
    ocations
    -0.75
    raq
    -0.73
    mers
    -0.71
    late
    -0.69
    aroo
    -0.69
    ulty
    -0.68
    omsky
    -0.68
    POSITIVE LOGITS
     knowing
    0.90
    lessly
    0.84
     regard
    0.76
     mentioning
    0.73
     sacrificing
    0.72
     exception
    0.72
     blinking
    0.70
    etheless
    0.67
     specifying
    0.66
     compromising
    0.66
    Activations Density 0.033%

    No Known Activations