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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. 9-RES-JB
    11. 6154
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    Explanations

    phrases related to movement and direction

    oai_token-act-pair · gpt-3.5-turbo

    instances of Pokémon descriptions or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Palestin
    -0.63
    emale
    -0.55
     Vaugh
    -0.55
     Seym
    -0.53
     Nare
    -0.53
     Nev
    -0.51
    rouse
    -0.50
     Azerb
    -0.50
     Gaw
    -0.50
    athan
    -0.49
    POSITIVE LOGITS
     ][
    0.92
    malink
    0.70
     ]
    0.69
     Tradable
    0.67
    redients
    0.64
    initialized
    0.61
    tailed
    0.61
    caps
    0.59
     !
    0.59
     ],
    0.59
    Activations Density 0.116%

    No Known Activations